MCP server registry
This commit is contained in:
Yiorgis Gozadinos
parent
09528221b5
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3 changed files with 292 additions and 0 deletions
35
.github/workflows/publish-mcp.yml
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35
.github/workflows/publish-mcp.yml
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name: Publish to MCP Registry
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on:
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workflow_run:
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workflows: ["Build & publish to pypi"]
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types:
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- completed
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jobs:
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publish-mcp:
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runs-on: ubuntu-latest
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if: ${{ github.event.workflow_run.conclusion == 'success' }}
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permissions:
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contents: read
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id-token: write
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.12'
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- name: Generate server.json from template
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run: |
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VERSION=$(python -c "import tomllib; print(tomllib.load(open('pyproject.toml', 'rb'))['project']['version'])")
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sed "s/{{VERSION}}/$VERSION/g" server.json > server.json.tmp
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mv server.json.tmp server.json
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echo "Generated server.json with version: $VERSION"
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- name: Install MCP Publisher
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run: |
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curl -L https://github.com/modelcontextprotocol/publisher/releases/latest/download/mcp-publisher-linux-x86_64 -o mcp-publisher
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chmod +x mcp-publisher
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sudo mv mcp-publisher /usr/local/bin/
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- name: Login to MCP Registry
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run: mcp-publisher login github-oidc
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- name: Publish to MCP Registry
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run: mcp-publisher publish
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4
.gitignore
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4
.gitignore
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@ -21,3 +21,7 @@ tests/data/
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TODO.md
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PLAN.md
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DEVNOTES.md
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# mcp registry
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.mcpregistry_github_token
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.mcpregistry_registry_token
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253
server.json
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253
server.json
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{
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"$schema": "https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json",
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"name": "io.github.ggozad/haiku-rag",
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"version": "{{VERSION}}",
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"description": "Agentic Retrieval Augmented Generation (RAG) with LanceDB",
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"repository": {
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"url": "https://github.com/ggozad/haiku.rag",
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"source": "github"
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},
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"homepage": "https://github.com/ggozad/haiku.rag",
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"license": "MIT",
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"keywords": ["rag", "lancedb", "vector-database", "embeddings", "search", "qa", "research"],
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"vendor": {
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"name": "Yiorgis Gozadinos",
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"url": "https://github.com/ggozad"
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},
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"deployment": {
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"packages": [
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{
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"type": "pypi",
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"package": "haiku.rag",
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"command": {
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"linux-x86_64": {
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"shell": "uvx",
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"args": ["haiku.rag", "serve", "--stdio"]
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},
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"darwin-arm64": {
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"shell": "uvx",
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"args": ["haiku.rag", "serve", "--stdio"]
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},
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"darwin-x86_64": {
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"shell": "uvx",
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"args": ["haiku.rag", "serve", "--stdio"]
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},
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"win32-x86_64": {
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"shell": "uvx.exe",
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"args": ["haiku.rag", "serve", "--stdio"]
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}
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},
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"environmentVariables": [
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{
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"name": "ENV",
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"description": "Runtime environment (production or development)",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "DEFAULT_DATA_DIR",
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"description": "Default directory for LanceDB data and assets",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "MONITOR_DIRECTORIES",
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"description": "Comma-separated paths to watch for file changes in server mode",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "LANCEDB_URI",
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"description": "LanceDB connection URI (use db:// for cloud or a filesystem path)",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "LANCEDB_REGION",
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"description": "LanceDB cloud region (if using cloud)",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "LANCEDB_API_KEY",
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"description": "LanceDB API key (required for LanceDB Cloud)",
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"format": "string",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "EMBEDDINGS_PROVIDER",
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"description": "Embeddings provider (e.g. ollama, openai, voyageai)",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "EMBEDDINGS_MODEL",
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"description": "Embeddings model name (provider-specific)",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "EMBEDDINGS_VECTOR_DIM",
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"description": "Embedding vector dimension (must match model)",
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"format": "number",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "QA_PROVIDER",
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"description": "Question answering provider (e.g. ollama, openai, anthropic)",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "QA_MODEL",
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"description": "Question answering model name (provider-specific)",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "RESEARCH_PROVIDER",
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"description": "Research provider for multi-agent research (e.g. ollama, openai, anthropic)",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "RESEARCH_MODEL",
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"description": "Research model name for multi-agent research (provider-specific)",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "RERANK_PROVIDER",
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"description": "Rerank provider (e.g. mixedbread, cohere)",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "RERANK_MODEL",
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"description": "Rerank model name (provider-specific)",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "CHUNK_SIZE",
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"description": "Chunk size for splitting documents (characters)",
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"format": "number",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "CONTEXT_CHUNK_RADIUS",
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"description": "Number of adjacent chunks to include around search hits",
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"format": "number",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "OLLAMA_BASE_URL",
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"description": "Base URL for Ollama server",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "VLLM_EMBEDDINGS_BASE_URL",
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"description": "Base URL for vLLM embeddings endpoint",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "VLLM_RERANK_BASE_URL",
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"description": "Base URL for vLLM rerank endpoint",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "VLLM_QA_BASE_URL",
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"description": "Base URL for vLLM QA endpoint",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "VLLM_RESEARCH_BASE_URL",
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"description": "Base URL for vLLM research endpoint",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "MARKDOWN_PREPROCESSOR",
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"description": "Dotted path or file path to a callable that preprocesses markdown content before chunking",
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"format": "string",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "DISABLE_DB_AUTOCREATE",
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"description": "If true, refuse to auto-create a new LanceDB database or tables",
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"format": "boolean",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "VACUUM_RETENTION_SECONDS",
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"description": "Vacuum retention threshold in seconds (default: 60)",
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"format": "number",
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"isRequired": false,
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"isSecret": false
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},
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{
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"name": "OPENAI_API_KEY",
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"description": "OpenAI API key (if using OpenAI for embeddings or QA)",
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"format": "string",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "VOYAGE_API_KEY",
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"description": "VoyageAI API key (if using VoyageAI for embeddings)",
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"format": "string",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "ANTHROPIC_API_KEY",
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"description": "Anthropic API key (if using Anthropic for QA)",
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"format": "string",
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"isRequired": false,
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"isSecret": true
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},
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{
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"name": "COHERE_API_KEY",
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"description": "Cohere API key (if using Cohere for reranking)",
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"format": "string",
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"isRequired": false,
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"isSecret": true
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}
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]
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}
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]
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},
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"transports": [
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{
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"type": "stdio"
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}
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]
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}
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