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Documentdb Mcp

CLI or API | MCP

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Documentation — Installation, deployment, usage across the API, CLI, MCP, and agent interfaces, and guidance for provisioning the DocumentDB backing service are maintained in the official documentation.


Overview


Key Features

  • Consolidated Action-Routed MCP Tools: Minimizes token overhead and eliminates tool bloat in LLM contexts by grouping methods into optimized, togglable tool modules.
  • Enterprise-Grade Security: Complete support for Eunomia policies, OIDC token delegation, and granular execution context tracking.
  • Native Telemetry & Tracing: Out-of-the-box OpenTelemetry exports and native Langfuse tracing.

CLI or API

Detailed instructions on how to use the underlying API wrappers, extended schema bindings, and developer SDK references are maintained in docs/index.md.


MCP

This server use dynamic Action-Routed tools to optimize token overhead and maximize IDE compatibility.

Available MCP Tools

Auto-generated — do not edit (synced by the mcp-readme-table pre-commit hook).

Knowledge-graph tools

Tool Toggle Purpose
documentdb_ingest_catalog KGTOOL Natively ingest the DocumentDB catalog into epistemic-graph as typed nodes.
documentdb_ingest_documents KGTOOL Natively ingest stored documents from a collection as :Document nodes.

Operation tools (one per client method)

28 per-operation tools — one per public API method (click to expand)
MCP Tool Toggle Env Var Description
documentdb_aggregate ANALYSIS_CLIENTTOOL Invoke the aggregate operation.
documentdb_binary_version SYSTEM_CLIENTTOOL Invoke the binary_version operation.
documentdb_count_documents CRUD_CLIENTTOOL Invoke the count_documents operation.
documentdb_create_collection SYSTEM_CLIENTTOOL Invoke the create_collection operation.
documentdb_create_database SYSTEM_CLIENTTOOL Invoke the create_database operation.
documentdb_create_user USERS_CLIENTTOOL Invoke the create_user operation.
documentdb_delete_many CRUD_CLIENTTOOL Invoke the delete_many operation.
documentdb_delete_one CRUD_CLIENTTOOL Invoke the delete_one operation.
documentdb_distinct ANALYSIS_CLIENTTOOL Invoke the distinct operation.
documentdb_drop_collection SYSTEM_CLIENTTOOL Invoke the drop_collection operation.
documentdb_drop_database SYSTEM_CLIENTTOOL Invoke the drop_database operation.
documentdb_drop_user USERS_CLIENTTOOL Invoke the drop_user operation.
documentdb_find CRUD_CLIENTTOOL Invoke the find operation.
documentdb_find_one CRUD_CLIENTTOOL Invoke the find_one operation.
documentdb_find_one_and_delete CRUD_CLIENTTOOL Invoke the find_one_and_delete operation.
documentdb_find_one_and_replace CRUD_CLIENTTOOL Invoke the find_one_and_replace operation.
documentdb_find_one_and_update CRUD_CLIENTTOOL Invoke the find_one_and_update operation.
documentdb_insert_many CRUD_CLIENTTOOL Invoke the insert_many operation.
documentdb_insert_one CRUD_CLIENTTOOL Invoke the insert_one operation.
documentdb_list_collections SYSTEM_CLIENTTOOL Invoke the list_collections operation.
documentdb_list_databases SYSTEM_CLIENTTOOL Invoke the list_databases operation.
documentdb_rename_collection SYSTEM_CLIENTTOOL Invoke the rename_collection operation.
documentdb_replace_one CRUD_CLIENTTOOL Invoke the replace_one operation.
documentdb_run_command SYSTEM_CLIENTTOOL Invoke the run_command operation.
documentdb_update_many CRUD_CLIENTTOOL Invoke the update_many operation.
documentdb_update_one CRUD_CLIENTTOOL Invoke the update_one operation.
documentdb_update_user USERS_CLIENTTOOL Invoke the update_user operation.
documentdb_users_info USERS_CLIENTTOOL Invoke the users_info operation.

28 operation tool(s) and 2 knowledge-graph tool(s). Each is enabled unless its <DOMAIN>TOOL toggle is set false; MCP_TOOL_MODE selects the surface (intent default — the six verb-tools, granular set loaded on demand · condensed action-routed · verbose 1:1 · both). Auto-generated — do not edit.

Detailed tool schemas, parameter shapes, and validation constraints are preserved in docs/usage.md.

Dynamic Tool Selection & Visibility

This MCP server supports dynamic toolset selection and visibility filtering at runtime. This allows the operator to restrict the set of exposed tools to prevent blowing up the LLM's context window.

The operator can configure tool filtering via multiple input channels:

  • CLI Arguments: Pass --tools or --toolsets (or their disabled counterparts --disabled-tools and --disabled-toolsets) during startup.
  • Environment Variables: Define standard environment variables:
    • MCP_ENABLED_TOOLS / MCP_DISABLED_TOOLS
    • MCP_ENABLED_TAGS / MCP_DISABLED_TAGS
  • HTTP SSE Request Headers: Pass custom headers during transport initialization:
    • x-mcp-enabled-tools / x-mcp-disabled-tools
    • x-mcp-enabled-tags / x-mcp-disabled-tags
  • HTTP SSE Request Query Parameters: Append query parameters directly to the operator's transport connection URL:
    • ?tools=tool1,tool2
    • ?tags=tag1

When query strings or parameters are supplied, an LLM-free Knowledge Graph resolution layer (using DynamicToolOrchestrator) matches query intents against known tool tags, names, or descriptions, with safe fallback and automated 24-hour background cache refreshing.


MCP Configuration Examples

Install the connector-focused [mcp] extra. Examples use documentdb-mcp[mcp] to add FastMCP / FastAPI through scion-sdk; the required Scion SDK core still carries epistemic-graph[full]. The [agent-runtime] extra additionally enables model orchestration.

stdio Transport (local IDEs — Cursor, Claude Desktop, VS Code)

{
  "mcpServers": {
    "documentdb-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "documentdb-mcp[mcp]",
        "documentdb-mcp"
      ],
      "env": {
        "MCP_TOOL_MODE": "intent",
        "ANALYSISTOOL": "True",
        "COLLECTIONSTOOL": "True",
        "CRUDTOOL": "True",
        "KGTOOL": "True",
        "MONGODB_HOST": "localhost",
        "MONGODB_PORT": "27017",
        "MONGODB_URI": "mongodb://localhost:27017/",
        "SYSTEMTOOL": "True",
        "USERSTOOL": "True"
      }
    }
  }
}

Runtime references require an alias-aware launcher such as Arbora. Other launchers must omit those entries and inject the resolved values through their own runtime secret boundary.

Streamable-HTTP Transport (networked / production)

{
  "mcpServers": {
    "documentdb-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "documentdb-mcp[mcp]",
        "documentdb-mcp",
        "--transport",
        "streamable-http",
        "--port",
        "8000"
      ],
      "env": {
        "TRANSPORT": "streamable-http",
        "HOST": "127.0.0.1",
        "PORT": "8000",
        "MCP_TOOL_MODE": "intent",
        "ANALYSISTOOL": "True",
        "COLLECTIONSTOOL": "True",
        "CRUDTOOL": "True",
        "KGTOOL": "True",
        "MONGODB_HOST": "localhost",
        "MONGODB_PORT": "27017",
        "MONGODB_URI": "mongodb://localhost:27017/",
        "SYSTEMTOOL": "True",
        "USERSTOOL": "True"
      }
    }
  }
}

Alternatively, connect to a pre-deployed Streamable-HTTP instance by url:

{
  "mcpServers": {
    "documentdb-mcp": {
      "url": "http://localhost:8000/documentdb-mcp/mcp"
    }
  }
}

Run a reviewed container image as a least-privilege stdio child (no listener or published port):

docker run -i --rm \
  --read-only \
  --cap-drop=ALL \
  --security-opt=no-new-privileges \
  --pids-limit=256 \
  --tmpfs /tmp:rw,noexec,nosuid,nodev,size=64m \
  -e TRANSPORT=stdio \
  -e MCP_TOOL_MODE=intent \
  -e ANALYSISTOOL=True \
  -e COLLECTIONSTOOL=True \
  -e CRUDTOOL=True \
  -e KGTOOL=True \
  -e MONGODB_HOST=localhost \
  -e MONGODB_PORT=27017 \
  -e MONGODB_URI=mongodb://localhost:27017/ \
  -e SYSTEMTOOL=True \
  -e USERSTOOL=True \
  registry.example.invalid/documentdb-mcp@sha256:<digest> documentdb-mcp

For containerized network HTTP, supply an authenticated TLS ingress (or direct server TLS), exact MCP_ALLOWED_HOSTS, and an exact trusted-proxy CIDR policy through the operator-owned deployment profile. The generator does not emit an unauthenticated non-loopback listener.

Auto-generated from the code-read env surface (MCP_TOOL_MODE + package vars) — do not edit.

Additional Deployment Options

documentdb-mcp can run as a local stdio process or container, or behind a remote network boundary. The Deployment guide carries the detailed transport contract.

  • Local container — launch a reviewed immutable image as a least-privilege stdio child with no listener or published port.
  • Remote URL — connect through an operator-supplied authenticated HTTPS ingress. Keep its URL, outbound identity references, trust profile, and exact MCP_ALLOWED_HOSTS in AgentConfig.

Agent

Set credentials

export MONGODB_URI="mongodb://localhost:27017/" export MONGODB_HOST="localhost" export MONGODB_PORT="27017"

Connector-focused MCP server (includes the shared graph engine)

uv pip install "documentdb-mcp[mcp]"

Everything (development)

uv pip install "documentdb-mcp[all]" # or: python -m pip install "documentdb-mcp[all]"


### Container images (`:mcp`)

One multi-stage `docker/Dockerfile` builds the MCP-only image (`--target mcp`):

| Image tag | Build target | Contents | Entrypoint |
|-----------|--------------|----------|------------|
| `example/documentdb-mcp:mcp` | `--target mcp` | `documentdb-mcp[mcp]` — **connector-focused**, includes `epistemic-graph[full]`; no model-orchestration stack | `documentdb-mcp` |

```bash
docker build --target mcp   -t example/documentdb-mcp:mcp    docker/   # connector-focused MCP server

agent (immutable agent digest) with a co-located :mcp sidecar.

Knowledge-graph database (epistemic-graph)

Scion SDK core dependency (epistemic-graph[full]). The [mcp] extra keeps deployments can use the bundled engine. For production or shared state, run epistemic-graph as a dedicated database service and configure the runtime to use it. Deployment recipes (single-node + Raft HA), connection configuration, and architecture diagrams are documented in the epistemic-graph deployment guide. This graph service is distinct from the DocumentDB backing store used by the MCP tools; see the connection variables above.


Documentation

The complete documentation is published as the official documentation site and is the recommended reference for installation, deployment, and day-to-day operation.

Page Contents
Installation pip, source, extras, prebuilt Docker image
Deployment run the MCP server and agent, Compose, Caddy + Technitium, env config
Usage the MCP tools, the DocumentDBApi client, the CLI
Backing Platform deploy DocumentDB with Docker
Overview ecosystem role, tool modules, configuration
Concepts concept registry (CONCEPT:DOCDB-*)

Repository Owners

GitHub followers GitHub User's stars


Contribute

Contributions are welcome! Please ensure code quality by running local checks before submitting pull requests:

  • Format code using ruff format .
  • Lint code using ruff check .
  • Validate type-safety with mypy .
  • Run test suites using pytest

Deploy with scion-sdk-deployment

Provision this package with the consolidated scion-sdk-deployment workflow. It selects an installed-package, editable-source, or immutable-container path; records only runtime secret and TLS-profile references in AgentConfig; and runs doctor, registration, policy, observability, and rollback gates. Ask your agent to "deploy documentdb-mcp with scion-sdk-deployment".

Install mode Command
Installed package uv tool install "documentdb-mcp[mcp]", then run documentdb-mcp
Immutable container deploy registry.example.invalid/documentdb-mcp@sha256:<digest> through the operator-selected orchestrator

The repository embeds no deployment profile, credential value, certificate path, or environment-specific endpoint. Supply those at runtime through AgentConfig and the configured secret provider.

Governed capability contract

This package ships a compact canonical skill surface with specialist procedures kept as referenced workflows. The current MCP tools, skill metadata, connector_manifest.yml, ontology, mappings, shapes, fixtures, migrations, tool-schema fingerprints, and certification metadata form one versioned capability contract. Validate them together; do not rely on stale tool names or historical per-task skill wrappers.

Runtime endpoints, credentials, certificate trust, tenant identity, retention, and observability policy are deployment inputs and are never packaged values. See Configuration, trust, and privacy before enabling a network transport, connector ingestion, Arbora delegation, or trace export.

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