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Search / io.github.brianhearn/ep-mcp

ExpertPack MCP

L0· runs locally

Serve ExpertPack knowledge packs over MCP with hybrid search, graph traversal and provenance.

v0.7.0 · active · repository · website · descriptor JSON · versions

Runs on your machine: something must execute the package.Only local packages are published (npm, PyPI, OCI, …). The registry never executes them, so tools are unknown until you run it.
Quality–new
Trust96of 100
Packages1
Tools seen0

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "ep-mcp": {
      "command": "uvx",
      "args": [
        "ep-mcp==0.7.0",
        "serve",
        "--config",
        "--transport",
        "stdio"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}",
        "AZURE_OPENAI_API_KEY": "${AZURE_OPENAI_API_KEY}"
      }
    }
  }
}
claude mcp add ep-mcp -e "GEMINI_API_KEY=${GEMINI_API_KEY}" -e "AZURE_OPENAI_API_KEY=${AZURE_OPENAI_API_KEY}" -- uvx ep-mcp==0.7.0 serve --config --transport stdio
[mcp_servers.ep-mcp]
command = "uvx"
args = ["ep-mcp==0.7.0", "serve", "--config", "--transport", "stdio"]
env = { "GEMINI_API_KEY" = "${GEMINI_API_KEY}", "AZURE_OPENAI_API_KEY" = "${AZURE_OPENAI_API_KEY}" }

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ep-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "ep-mcp==0.7.0",
        "serve",
        "--config",
        "--transport",
        "stdio"
      ],
      "enabled": true,
      "environment": {
        "GEMINI_API_KEY": "{env:GEMINI_API_KEY}",
        "AZURE_OPENAI_API_KEY": "{env:AZURE_OPENAI_API_KEY}"
      }
    }
  }
}
{
  "mcpServers": {
    "ep-mcp": {
      "command": "uvx",
      "args": [
        "ep-mcp==0.7.0",
        "serve",
        "--config",
        "--transport",
        "stdio"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}",
        "AZURE_OPENAI_API_KEY": "${AZURE_OPENAI_API_KEY}"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=ep-mcp&config=eyJjb21tYW5kIjoidXZ4IiwiYXJncyI6WyJlcC1tY3A9PTAuNy4wIiwic2VydmUiLCItLWNvbmZpZyIsIi0tdHJhbnNwb3J0Iiwic3RkaW8iXSwiZW52Ijp7IkdFTUlOSV9BUElfS0VZIjoiJHtHRU1JTklfQVBJX0tFWX0iLCJBWlVSRV9PUEVOQUlfQVBJX0tFWSI6IiR7QVpVUkVfT1BFTkFJX0FQSV9LRVl9In19"
}
{
  "servers": {
    "ep-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "ep-mcp==0.7.0",
        "serve",
        "--config",
        "--transport",
        "stdio"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}",
        "AZURE_OPENAI_API_KEY": "${AZURE_OPENAI_API_KEY}"
      }
    }
  }
}
{
  "mcpServers": {
    "ep-mcp": {
      "command": "uvx",
      "args": [
        "ep-mcp==0.7.0",
        "serve",
        "--config",
        "--transport",
        "stdio"
      ],
      "env": {
        "GEMINI_API_KEY": "${GEMINI_API_KEY}",
        "AZURE_OPENAI_API_KEY": "${AZURE_OPENAI_API_KEY}"
      }
    }
  }
}
extensions:
  "ep-mcp":
    enabled: true
    name: "ep-mcp"
    type: stdio
    cmd: "uvx"
    args:
      - "ep-mcp==0.7.0"
      - "serve"
      - "--config"
      - "--transport"
      - "stdio"
    envs:
      "GEMINI_API_KEY": "${GEMINI_API_KEY}"
      "AZURE_OPENAI_API_KEY": "${AZURE_OPENAI_API_KEY}"
    timeout: 300

Placeholders to fill from your own secret store: ${GEMINI_API_KEY}, ${AZURE_OPENAI_API_KEY}. The registry never accepts secret values.

This is a local package: the command runs on your machine.

Quality – / 100new

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

protocoln/a · weight 25
  • n/a
    protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygienen/a · weight 30
  • n/a
    tools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)
stabilityn/a · weight 15
  • n/a
    stability.changes, stability.rug_pulltool list unknown
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvabledeps.dev does not know [email protected]

Tool list unknown · checked 2026-10-20 22:23 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 96 / 100

provenance90
livenessn/a
freshness100
hygiene100

+repository +namespace-matches-repo +website ~liveness-unmeasured +updated-0d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

[email protected] PyPIthis version is not known to the dependency resolver

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

packageregistryversionruntimesecrets
ep-mcppypi0.7.0uvxGEMINI_API_KEY, AZURE_OPENAI_API_KEY

Tools (0)

No tools observed. Local packages are never executed by the registry.

Schemas: list_tools.

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Official server.json
{
  "name": "io.github.brianhearn/ep-mcp",
  "title": "ExpertPack MCP",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "version": "0.7.0",
  "packages": [
    {
      "version": "0.7.0",
      "transport": {
        "type": "stdio"
      },
      "identifier": "ep-mcp",
      "runtimeHint": "uvx",
      "registryType": "pypi",
      "registryBaseUrl": "https://pypi.org",
      "packageArguments": [
        {
          "type": "positional",
          "value": "serve"
        },
        {
          "name": "--config",
          "type": "named",
          "format": "filepath",
          "isRequired": true,
          "description": "Path to an ep-mcp config YAML listing your ExpertPacks"
        },
        {
          "name": "--transport",
          "type": "named",
          "value": "stdio"
        }
      ],
      "environmentVariables": [
        {
          "name": "GEMINI_API_KEY",
          "isSecret": true,
          "description": "Gemini API key for embeddings (or set AZURE_OPENAI_API_KEY when using Azure OpenAI)"
        },
        {
          "name": "AZURE_OPENAI_API_KEY",
          "isSecret": true,
          "description": "Azure OpenAI key, if the config uses the Azure embedding provider"
        }
      ]
    }
  ],
  "repository": {
    "url": "https://github.com/brianhearn/ep-mcp",
    "source": "github"
  },
  "websiteUrl": "https://expertpack.ai",
  "description": "Serve ExpertPack knowledge packs over MCP with hybrid search, graph traversal and provenance."
}