mcp-server-falkordb

MCP server for FalkorDB — a property graph database built on Redis. Connects LLM agents (Claude, or any MCP client) to a running FalkorDB instance via 6 agent-centric tools covering graph discovery, read queries, writes, and schema inspection.

Quick Start

One-block install + first call:

# 1. Start FalkorDB (if not already running)
docker run -d -p 6379:6379 falkordb/falkordb

# 2. Register the MCP in Claude Code
claude mcp add falkordb -- uvx mcp-server-falkordb

# 3. From your agent: explore a graph
# (Claude will call: graph_explore(graph="my_graph"))

That's it. Six graph tools now available to any MCP-compatible agent.

Tools

Not in v1 (by design):

• No direct node/edge CRUD — Cypher via graph_mutate is more powerful and honest
• No index management — advanced, add via graph_mutate when needed
• No backup/restore — use docker exec + RDB snapshots

Installation

Requirements

• Python 3.12+
• Running FalkorDB instance (default: localhost:6379)

Claude Desktop / Claude Code (uvx — recommended)

Add to your claude_desktop_config.json (or Claude Code MCP config):

{
  "mcpServers": {
    "falkordb": {
      "command": "uvx",
      "args": ["mcp-server-falkordb"],
      "env": {
        "FALKORDB_HOST": "localhost",
        "FALKORDB_PORT": "6379"
      }
    }
  }
}

Or add via CLI:

claude mcp add falkordb -- uvx mcp-server-falkordb

To specify a custom host/port via CLI:

claude mcp add falkordb --env FALKORDB_HOST=localhost --env FALKORDB_PORT=6379 -- uvx mcp-server-falkordb

If FALKORDB_HOST and FALKORDB_PORT are omitted, they default to localhost:6379.

pip

pip install mcp-server-falkordb
mcp-server-falkordb   # starts on stdio

From source

git clone https://github.com/rbarrielabrystech/mcp-server-falkordb
cd mcp-server-falkordb
uv run mcp-server-falkordb

[servers.falkordb]
socket = "~/mcp-sockets/falkordb.sock"
cmd = "uv"
args = ["--directory", "/path/to/mcp-server-falkordb", "run", "mcp-server-falkordb"]
env = { FALKORDB_HOST = "localhost", FALKORDB_PORT = "6379" }
lazy_start = true
max_restarts = 20

claude mcp add --scope user falkordb -- rmcp-mux-proxy --socket ~/mcp-sockets/falkordb.sock

Configuration

Environment variables:

Usage Examples

Explore a graph

graph_explore(graph="my_graph")

Returns labels, relationship types, property keys with counts, plus sample nodes and edges.

Query data

graph_query(
  graph="my_graph",
  query="MATCH (n:Memory) RETURN n.content LIMIT 10"
)

Write keywords (CREATE, DELETE, SET, MERGE, REMOVE, DROP) are rejected — use graph_mutate.

Parameterized query

graph_query(
  graph="my_graph",
  query="MATCH (n:Person {name: $name}) RETURN n",
  params={"name": "Alice"}
)

Write data

graph_mutate(
  graph="my_graph",
  query="CREATE (n:Note {content: $content, created: $date})",
  params={"content": "Remember this", "date": "2026-04-16"}
)

Delete a graph

graph_delete(graph="my_temp_graph", confirm=true)

confirm must be true — this is irreversible.

Response Formats

All listing and query tools support format: "markdown" (default) or format: "json".

• markdown: Human-readable tables and lists, good for agent reasoning
• json: Machine-readable, good for programmatic processing

Read-Only Enforcement

graph_query enforces read-only semantics before the query reaches FalkorDB:

1. Strips string literals and backtick-quoted identifiers (prevents false positives on keywords in strings and labels)
2. Regex-checks for write keywords: CREATE, DELETE, SET, MERGE, REMOVE, DROP
3. Checks for write/admin CALL db.* procedures

If a write keyword is detected, the error message explicitly directs to graph_mutate. The authoritative read-only gate is FalkorDB's server-side ro_query mode — the client-side regex is defense-in-depth to avoid unnecessary round-trips.

Troubleshooting

FalkorDB not running

Symptom: first tool call returns a connection refused error.

Fix: start FalkorDB with Docker:

docker run -p 6379:6379 falkordb/falkordb

Wrong host or port

Set FALKORDB_HOST and FALKORDB_PORT environment variables (see Configuration above).

Password-protected FalkorDB

Set FALKORDB_PASSWORD to your Redis AUTH password. The server passes it transparently to the FalkorDB client.

Graph name with special characters

FalkorDB graph names support alphanumeric characters, underscores (_), and hyphens (-). Names with other special characters will be rejected with a GraphNameError before the query reaches the database.

Large result sets

All tools truncate responses at 25,000 characters and append a notice. Add a LIMIT clause to your Cypher query or use the format: "json" output to reduce payload size.

Query timing out

The default query timeout is 30 seconds. For longer-running analytical queries, increase it via FALKORDB_QUERY_TIMEOUT_MS=60000 (or whatever millisecond value suits).

Development

# Install deps
uv sync

# Run tests (requires live FalkorDB at localhost:6379)
uv run pytest

# Type check
uv run mypy src/

# Lint + format
uv run ruff check src/ tests/
uv run ruff format src/ tests/

All tests use ephemeral graphs with a unique _test_mcp_<uuid> prefix. No pre-existing graph in your FalkorDB instance is ever touched.

Architecture

src/mcp_server_falkordb/
├── __main__.py     Entry point
├── server.py       FastMCP app + 6 tool registrations
├── client.py       Async FalkorDB connection (lifespan-managed)
├── validators.py   Cypher read-only enforcement + graph name validation
└── formatters.py   Markdown/JSON output + CHARACTER_LIMIT truncation

Contributing

Contributions welcome! Please:

1. Open an issue describing what you want to change before starting work
2. Fork the repo, create a feature branch
3. Add tests for any new behavior
4. Run the full gate locally before opening a PR: uv run pytest && uv run mypy src/ && uv run ruff check src/ tests/
5. PRs should target main with a clear title and description

See CONTRIBUTING.md for detailed guidelines.

Changelog

See CHANGELOG.md for version history.

Acknowledgments

• FalkorDB — the graph database this server targets. FalkorDB is a fork of RedisGraph maintained by the original team.
• falkordb-py — the Python client used under the hood.
• Model Context Protocol — the protocol spec and Python SDK that make agent-tool integration possible.
• FastMCP — the Python framework this server uses.

License

MIT — see LICENSE.