Synapse MCP

Your AI Agent Is Wasting Tokens Grepping for Answers It Should Already Know

Claude Code. Cursor. Copilot. Windsurf. Aider. Cline. Doesn't matter which one — they all do the same wasteful dance. Grep the codebase. Read a file. Grep again. Open ten more files. Guess. Edit. Break something three modules away it never even looked at.

That's not intelligence. That's exploration disguised as busy work — and you're paying for every token of it.

Synapse MCP ends the guessing.

It's an MCP server that hands your agent a pre-built AST knowledge graph - a brain - of your entire codebase — every function, every call relationship, every module boundary, indexed and queryable in microseconds. Your agent stops exploring and starts acting, like a senior engineer who's already read the whole repo.

We tried Cursor's indexing, codebase-memory-mcp, Greptile, Augment, RepoMix. They all answer "what's in this codebase." None answer "is it safe to change this?"

That gap breaks production. An agent finds 2 callers via grep, edits them, calls it done — then silently breaks 3 more in sibling packages it never found because grep doesn't understand aliased imports.

Synapse closes that gap:

Safe writes — simulate edits in memory, verify every caller against the graph, auto-rollback before the file is ever touched.

Dead code detection — not a list of guesses, but a verdict: safe_to_delete, confidence score, risk level.

Change review — maps the full blast radius before you push, not after prod breaks.

14 MCP tools — semantic/symbol/regex search, caller/callee traversal, crash stack resolution, test intelligence, and knowledge cache.

Why it's different:

100% local. Your code never leaves your machine. No cloud indexing, no telemetry.

50+ languages. Real per-language AST chunkers, not generic text slicing.

Sub-millisecond queries. In-memory graph, built for speed.

Stop paying your agent to grep. Give it a brain, a map and knowledge.