Help us improve
Share bugs, ideas, or general feedback.
Share bugs, ideas, or general feedback.
Share bugs, ideas, or general feedback.
By mistakeknot
Project-level code mapping: project registry, call graphs, architecture analysis, agent overlay, cross-project dependencies, pattern detection, live changes. MCP server with 9 tools.
npx claudepluginhub mistakeknot/interagency-marketplace --plugin intermapProject-level code mapping MCP server for Claude Code.
intermap maintains a structural understanding of your codebase: project registry, call graphs, impact analysis: and exposes it through 6 MCP tools. The agent_map tool is particularly interesting: it overlays live agent activity from intermute onto the code structure, so you can see not just what the code looks like but who's currently working on which parts.
The server is Go with a Python analysis bridge. Go handles the MCP transport and project registry; Python (via a vendored subset of tldr-swinton) does the actual code analysis. They communicate over JSON-over-stdio subprocess calls.
First, add the interagency marketplace (one-time setup):
/plugin marketplace add mistakeknot/interagency-marketplace
Then install the plugin:
/plugin install intermap
cmd/intermap-mcp/ Go MCP server (mark3labs/mcp-go)
python/intermap/ Python analysis layer
vendor/ Vendored tldr-swinton code (do not modify)
bin/launch-mcp.sh Server launcher
The Go → Python bridge uses subprocess with JSON-over-stdio: each analysis request spawns a Python subprocess, passes JSON in, gets JSON back. Simple and reliable, if not the fastest possible approach.
Graph-first code intelligence for AI agents. SurrealDB knowledge graph + 52 MCP tools replace Read/Grep/Glob with deterministic graph traversal. 80–95% fewer tokens on code context. Rust-native, fully local.
Admin access level
Server config contains admin-level keywords
Share bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Code intelligence powered by a knowledge graph. Provides execution flow tracing, blast radius analysis, and augmented search across your codebase.
Smart codebase exploration with dependency mapping and structure analysis
Codebase intelligence — semantic search workflows, dependency graph analysis, and context artifact exploration for SocratiCode
No description provided.
CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and get synthesized answers to architectural questions. Includes a lightweight code exploration subagent, authentication hooks, and multiple search modes (fast lexical, semantic, and deep cross-cutting). Works standalone or alongside the CodeAlive MCP server for direct tool access via the Model Context Protocol.
[DEPRECATED — use intervoice] Analyze your writing style and adapt Claude's output to sound like you. Replaced by intervoice, which reads one global multi-register profile instead of per-project glob-routed files.
Recursive AGENTS.md generator with integrated Oracle critique, CLAUDE.md harmonization, incremental updates, diff previews, and smart monorepo scoping. Cross-AI compatible.
Self-improving agent rig: codifies product and engineering discipline into composable workflows from brainstorm to ship. Compounds knowledge, generates domain agents, monitors its own docs, and surfaces conservative update drift. Orchestrates Claude, Codex, and Oracle through 6 agents, 52 commands, 19 skills, 0 MCP servers. Factory substrate: CXDB turn DAG, scenario bank with satisfaction scoring, evidence pipeline, agent capability policies. Companions: interspect, interphase, interline, interflux, interpath, interwatch, interslack, interform, intercraft, interdev, interpeer, intertest.
Token-efficient code reconnaissance for LLMs. Autonomous skills save 48-85% tokens via diff-context, semantic search, structural patterns, and symbol analysis. Includes MCP server for direct tool integration.
Token efficiency benchmarking, session analytics, and API-equivalent cost analysis for agent workflows
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claim