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MCP tools for Memgraph graphs created by memgraph-ingester

Project description

memgraph-ingester-mcp

memgraph-ingester-mcp exposes safe, high-level MCP tools for Memgraph graphs produced by memgraph-ingester. It keeps agents out of long Cypher instruction blocks for normal work while still offering a project-scoped read-only Cypher escape hatch for unusual lookups.

The package is intended to be published to PyPI as memgraph-ingester-mcp under the ousatov-ua account.

Tools

Code graph tools:

  • server_status: graph inventory, memory counts, and vector index status.
  • code_orientation: compact package/type/call overview; pass sections to keep it focused.
  • code_quality_stats: graph-wide code quality and quantity metrics.
  • code_hot_paths: compact hot-path candidates from size and call graph metrics.
  • code_search: CodeChunk vector search for broad discovery; text is omitted by default.
  • code_lookup_type: exact class/interface/annotation lookup; member expansion is opt-in.
  • code_lookup_methods: exact method lookup with source ranges; compact=true keeps range output small.
  • code_callers, code_callees: compact, paginated call graph lookups.
  • code_hierarchy: class ancestry, children, interfaces, and interface implementors.

Memory tools:

  • memory_orientation: rules plus open findings, tasks, questions, and risks; compact=true omits body fields.
  • memory_schema: allowed memory types, upsert fields, controlled values, and CodeRef targets.
  • memory_search: MemoryChunk vector search with index-only hit metadata.
  • memory_get: canonical memory node plus resolved CodeRefs.
  • memory_upsert: create/update Decision, ADR, Rule, Context, Finding, Task, Risk, Question, or Idea.
  • memory_update_status: lifecycle status update.
  • delete_memory: delete one memory node plus its derived chunk and orphan CodeRefs.
  • memory_link_code_ref: link memory to a resolved CodeRef target.
  • memory_refresh_chunk, memory_refresh_embeddings: maintain derived memory RAG data.

Fallback:

  • raw_read_cypher: read-only, project-scoped Cypher for edge cases.

Configuration

Use namespaced environment variables so this server does not collide with generic shell settings:

Variable Default Purpose
MEMGRAPH_INGESTER_MCP_BOLT_URI bolt://127.0.0.1:7687 Memgraph Bolt URI
MEMGRAPH_INGESTER_MCP_USERNAME unset Optional username
MEMGRAPH_INGESTER_MCP_PASSWORD unset Optional password
MEMGRAPH_INGESTER_MCP_DATABASE unset Optional database name
MEMGRAPH_INGESTER_MCP_PROJECT unset Default project name
MEMGRAPH_INGESTER_MCP_QUERY_TIMEOUT_SECONDS 30 Query timeout
MEMGRAPH_INGESTER_MCP_READ_ONLY false Disable write tools when true
MEMGRAPH_INGESTER_MCP_EMBEDDING_MODEL default Metadata stamped on refreshed chunks
MEMGRAPH_INGESTER_MCP_EMBEDDING_DIMENSIONS 384 Expected memory embedding dimension

Run Locally

uv sync --dev
uv run memgraph-ingester-mcp

Run tests:

uv run ruff check .
uv run pytest

Build the package:

uv build --no-sources

Client Setup

Replace my-project with the project name used when running memgraph-ingester.

Codex

Add this to ~/.codex/config.toml:

[mcp_servers.memgraphIngester]
command = "uvx"
args = ["memgraph-ingester-mcp"]
startup_timeout_ms = 20_000

[mcp_servers.memgraphIngester.env]
MEMGRAPH_INGESTER_MCP_BOLT_URI = "bolt://127.0.0.1:7687"
MEMGRAPH_INGESTER_MCP_PROJECT = "my-project"

Claude Desktop

Add this to claude_desktop_config.json:

{
  "mcpServers": {
    "memgraphIngester": {
      "type": "stdio",
      "command": "uvx",
      "args": ["memgraph-ingester-mcp"],
      "env": {
        "MEMGRAPH_INGESTER_MCP_BOLT_URI": "bolt://127.0.0.1:7687",
        "MEMGRAPH_INGESTER_MCP_PROJECT": "my-project"
      }
    }
  }
}

Claude Code can also add the same stdio server directly:

claude mcp add-json memgraphIngester \
  '{"type":"stdio","command":"uvx","args":["memgraph-ingester-mcp"],"env":{"MEMGRAPH_INGESTER_MCP_BOLT_URI":"bolt://127.0.0.1:7687","MEMGRAPH_INGESTER_MCP_PROJECT":"my-project"}}'

GitHub Copilot in VS Code

Create .vscode/mcp.json in the workspace or add the server to your user MCP configuration:

{
  "servers": {
    "memgraphIngester": {
      "type": "stdio",
      "command": "uvx",
      "args": ["memgraph-ingester-mcp"],
      "env": {
        "MEMGRAPH_INGESTER_MCP_BOLT_URI": "bolt://127.0.0.1:7687",
        "MEMGRAPH_INGESTER_MCP_PROJECT": "my-project"
      }
    }
  }
}

Gemini CLI

Add this to Gemini CLI settings.json:

{
  "mcpServers": {
    "memgraphIngester": {
      "command": "uvx",
      "args": ["memgraph-ingester-mcp"],
      "env": {
        "MEMGRAPH_INGESTER_MCP_BOLT_URI": "bolt://127.0.0.1:7687",
        "MEMGRAPH_INGESTER_MCP_PROJECT": "my-project"
      },
      "trust": false
    }
  }
}

Agent Guidance

Prefer the dedicated tools over raw_read_cypher. Use RAG search tools only for broad discovery, then follow up with exact lookup tools before making claims or edits. Keep responses compact: prefer code_quality_stats, code_hot_paths(include_evidence=false), code_orientation(sections=[...]), compact callers/callees, code_lookup_methods(compact=true), and code_lookup_type(include_members=false). Use memory_orientation(compact=true) for status checks and memory write tools for task lifecycle changes and CodeRef links so derived MemoryChunks stay refreshable.

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