Codelogic MCP Server

An [MCP Server](https://modelcontextprotocol.io/introduction) to utilize Codelogic's rich software dependency data in your AI programming assistant.

Local serverstdioPython

What is the Codelogic MCP server?

An MCP Server to utilize Codelogic's rich software dependency data in your AI programming assistant. The codelogic mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 9 defined tools rather than through you.

Adding it to your client

The server ships on PyPI as There, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

Its toolset

Everything the assistant can do here goes through one of these:

  • codelogic-method-impact — Pulls an impact assessment from the CodeLogic server's APIs for your code
  • codelogic-database-impact — Analyzes impacts between code and database entities
  • codelogic-graph-capabilities — GET — discover supported relationship types, limits, and flags for the workspace materialized view (materializedViewId defaults from
  • codelogic-graph-search — Search nodes by text query / q and/or identity_prefix; optional scan_space, limit, etc
  • codelogic-graph-impact — Dependency / blast-radius style traversal from seed_node_ids
  • codelogic-graph-path-explain — Shortest-path style explanation between from_node_id and to_node_id
  • codelogic-graph-validate-change-scope — Heuristic checklist / risk summary for a proposed change given seed nodes and proposed_change_summary
  • codelogic-graph-owners — Resolve a node by node_id or identity_prefix and surface property fields whose names contain "owner"
  • Tools — The server implements eight tools: two impact tools plus six graph tools backed by the CodeLogic graph HTTP API

Configuration

You will need 5 environment variables: CODELOGIC_SERVER_HOST, CODELOGIC_USERNAME, CODELOGIC_PASSWORD, CODELOGIC_WORKSPACE_NAME, CODELOGIC_DEBUG_MODE. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Caveats

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • With 9 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Codelogic.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the codelogic mcp server does with a few real requests.

When to reach for it

Among the database access options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Codelogic's toolset — codelogic-method-impact, codelogic-database-impact, codelogic-graph-capabilities and 6 more — is a fair guide to whether it matches your workflow. It is maintained by CodeLogicIncEngineering; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Codelogic's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Available tools

ToolWhat it does
codelogic-method-impactPulls an impact assessment from the CodeLogic server's APIs for your code.
codelogic-database-impactAnalyzes impacts between code and database entities.
codelogic-graph-capabilitiesGET — discover supported relationship types, limits, and flags for the workspace materialized view (materializedViewId defaults from CODELOGIC_WORKSPACE_NAME like other tools).
codelogic-graph-searchSearch nodes by text query / q and/or identity_prefix; optional scan_space, limit, etc.
codelogic-graph-impactDependency / blast-radius style traversal from seed_node_ids.
codelogic-graph-path-explainShortest-path style explanation between from_node_id and to_node_id.
codelogic-graph-validate-change-scopeHeuristic checklist / risk summary for a proposed change given seed nodes and proposed_change_summary.
codelogic-graph-ownersResolve a node by node_id or identity_prefix and surface property fields whose names contain "owner".
ToolsThe server implements **eight** tools: two impact tools plus six **graph** tools backed by the CodeLogic graph HTTP API.

How to install the Codelogic MCP server

{
  "mcpServers": {
    "codelogic": {
      "command": "uvx",
      "args": ["There"],
      "env": {
        "CODELOGIC_SERVER_HOST": "your-value",
        "CODELOGIC_USERNAME": "your-value",
        "CODELOGIC_PASSWORD": "your-value",
        "CODELOGIC_WORKSPACE_NAME": "your-value",
        "CODELOGIC_DEBUG_MODE": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

VariableDescriptionRequired
CODELOGIC_SERVER_HOSTEndpoint or connection string the server talks to.Optional
CODELOGIC_USERNAMEConfiguration value read at startup.Optional
CODELOGIC_PASSWORDConfiguration value read at startup.Optional
CODELOGIC_WORKSPACE_NAMEConfiguration value read at startup.Optional
CODELOGIC_DEBUG_MODEConfiguration value read at startup.Optional

Example prompts to try

  • Use Codelogic to codelogic-method-impact.
  • Use Codelogic to codelogic-database-impact.
  • Use Codelogic to codelogic-graph-capabilities.

Frequently asked questions

It connects Codelogic to MCP-compatible AI assistants such as Claude and Cursor, exposing 9 tools (codelogic-method-impact, codelogic-database-impact, codelogic-graph-capabilities, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Codelogic directly.