testigo-recall-mcp 0.2.2

MCP server for querying testigo-recall knowledge bases

testigo-recall-mcp

MCP server that exposes a pre-scanned codebase knowledge base to AI agents. Instead of reading source files directly, agents query pre-extracted facts about code behavior, design decisions, and assumptions — saving time and tokens.

Works with Claude Code, Cursor, Windsurf, and any MCP-compatible client.

Installation

pip install testigo-recall-mcp

Configuration

Claude Code

Add to your Claude Code MCP settings (~/.claude/mcp.json or project-level):

{
  "mcpServers": {
    "testigo-recall": {
      "command": "testigo-recall-mcp",
      "env": {
        "TESTIGO_RECALL_REPO": "owner/repo"
      }
    }
  }
}

Cursor / Windsurf

Add to your MCP configuration:

{
  "mcpServers": {
    "testigo-recall": {
      "command": "testigo-recall-mcp",
      "env": {
        "TESTIGO_RECALL_REPO": "owner/repo"
      }
    }
  }
}

Environment Variables

Variable	Description
TESTIGO_RECALL_REPO	GitHub repo (e.g. owner/repo). Auto-downloads the knowledge base from the knowledge-base release tag.
TESTIGO_RECALL_DB_PATH	Explicit path to a local SQLite knowledge base file. Takes priority over repo sync.
GITHUB_TOKEN	GitHub token for private repos. Public repos work without auth.

Tools

The server exposes 5 tools to AI agents:

search_codebase

Full-text search across the knowledge base. Returns facts ranked by relevance.

• query — search keywords (e.g. "authentication", "payment flow")
• category — optional filter: behavior, design, or assumption
• min_confidence — confidence threshold 0.0-1.0
• limit — max results (default: 20)

get_module_facts

Deep dive into a specific module. Use search_codebase first to discover module IDs.

• module_id — e.g. SCAN:backend/app/api or PR-123

get_recent_changes

Most recently extracted facts across the codebase.

• category — optional filter
• limit — number of results (default: 10)

get_component_impact

Blast radius analysis — shows what depends on a component and what it depends on.

• component_name — file path or service name (e.g. api_service.py)

list_modules

Lists all scanned modules in the knowledge base.

• repo_name — optional repository filter

How It Works

The knowledge base contains pre-extracted facts organized by category:

• behavior — what the code does (triggers, outcomes)
• design — how it's built (decisions, patterns, trade-offs)
• assumption — what it expects (invariants, prerequisites)

Facts come from two sources:

• SCAN facts (SCAN:module/path) — current state of a module, refreshed automatically
• PR facts (PR-123) — what a specific PR changed, preserved as history

The server uses SQLite with FTS5 full-text search for fast, relevance-ranked queries.