xmp4 · example4.ai

The MCP server that answers like the compiler.

Pre-indexed across 547+ OSS libraries and 10 languages. Your AI agent gets type-resolved callers, real source, and cross-language hierarchies — in 3 MCP calls.

Connect in 30 seconds See the benchmark ↓

Live at mcp.example4.ai · Free · No API key

mcp.example4.ai · call graph

→ xmp4_callers("MongoClient.connect")

Libraries indexed

Projects navigable

MCP tools

Languages

Real scenario

What it takes to answer one question.

Developer asks their AI:

"In spring-data-mongodb, who actually calls MongoTemplate.insertAll(), and what does the method body look like?"

xmp4exact

xmp4_callers → 12 real call sites across 4 repos (typed).
xmp4_source → full method body with signature.

Cost~1,558 tokens · 2s

grep + clonenoisy

Clone 4 repos (~300 MB), grep for "insertAll", AI reads 50 files, half match unrelated types (List.insertAll, Cache.insertAll). Re-rank, discard, guess which are real.

Cost~47,200 tokens · minutes

GitMCPblind

Fast text search on GitHub — returns every string occurrence of "insertAll" in any context: tests, docs, comments, unrelated classes. No type filtering, AI must converge by trial.

Cost~65,629 tokens

Context7n/a

Returns documentation snippets only. No source code, no call graph, no way to see who calls what. Works for reading about an API, not for reasoning about real code.

Costcan't answer

Why it matters

Your AI either has the compiler's view — or it's guessing.

Without xmp4

AI grep's GitHub, reads 50 files of noise, half are tests/docs
Type info is gone — "MongoClient" matches 200 unrelated lines
Hierarchies / callers / implementations are hand-guessed
Each library requires a separate clone + indexing

Typical cost65,629 tokens

With xmp4

3 MCP calls: search → callers → source — deterministic, typed
Compiler resolves the symbol — no false positives, no noise
Cross-language graph ready (Java→Kotlin, TS→JS, etc.)
Pre-indexed: nothing to clone, nothing to install

Same answer1,558 tokens

How it works

Three calls. Real answer.

Find the symbol

Locate a class, function, or method by name across any indexed library.

xmp4_search(
  repo: "mongo-java-driver",
  query: "MongoClient"
)

Follow the callers

Every call site is compiler-resolved: file, line, verified type.

xmp4_callers(
  symbol:
    "MongoClient.connect"
)

Read the source

Full method body + signature, ready for the agent to reason on.

xmp4_source(
  symbol:
    "MongoClient.connect"
)

Benchmark

Same answer. 42× cheaper.

Task (4 tier-1 libraries: spring-boot, tokio, django, efcore)

"Give me the signature, body, and real callers of X"

xmp4

1,558 tok

grep + clone

47,200 tok

GitMCP

65,629 tok

Context7

n/a no source

Coverage

Twelve languages. One API.

Language	search	info	usages	callers	hierarchy	source	outline	deps
TypeScript	●	●	●	●	●	●	●	●
C#	●	●	●	●	●	●	●	●
Python	●	●	●	●	●	●	●	●
Java	●	●	●	●	●	●	●	●
Rust	●	●	●	●	●	●	●	●
PHP	●	●	●	●	●	●	●	●
Go	●	●	●	●	◐	◐	●	●
JavaScript	●	●	●	●	◐	●	●	●
Ruby	●	●	●	◐	◐	●	●	●
Dart	●	●	◐	◐	◐	●	●	●
C++	●	●	◐	◐	●	●	●	—
Scala	◐	◐	◐	◐	◐	◐	●	◐

● full · ◐ best-effort · — not yet

FAQ

Good questions.

Is this Sourcegraph?

No. xmp4 is an independent product by 0ics srl. It consumes SCIP (an open Apache 2.0 indexing format from Sourcegraph) but is not affiliated with, endorsed by, or sponsored by Sourcegraph.

How is it different from Context7?

Context7 serves documentation snippets. xmp4 serves compiler-resolved code: real method bodies, typed callers, class hierarchies. Ask "what calls X" — Context7 can't answer; xmp4 returns 26 real call sites.

How is it different from GitMCP?

GitMCP does filename / text search on GitHub. Fast, but no type info — 'MongoClient' matches any string. xmp4 knows the symbol, its type, its graph. Same answer, 42× fewer tokens (measured).

Can I request a library?

Open a request on GitHub. Popular OSS libraries are added to the queue; average turnaround is under a day.

What about my private code?

xmp4 hosted is read-only on public OSS libraries that we indexed. Your code never touches our servers. For private repos you install LSAI Local (Docker) on your own machine — same API, same tools, zero cloud.

Is the data open?

Yes. Indexed libraries are public OSS under their original licenses. SCIP is Apache 2.0. Our benchmark whitepaper and methodology are in the public repo. You can take the data and go elsewhere any time.

Get started

Add one line. Done.

Paste into your MCP client config. No account. No key.

// Claude Desktop, Cursor, VS Code (any MCP-capable client)
"xmp4": {
  "type": "http",
  "url": "https://mcp.example4.ai/mcp"
}

Teach Claude how to use xmp4

Optional but recommended. Install the xmp4 skill so Claude picks the cheapest tool path automatically (tests_for + view over grep).

# Claude Code
mkdir -p ~/.claude/skills/xmp4 && curl -sfL https://example4.ai/xmp4-skill.md -o ~/.claude/skills/xmp4/SKILL.md

# Any other Claude client: point Claude at the URL
Read and follow https://example4.ai/xmp4-skill.md when using xmp4 tools.

xmp4 skill → · Full setup guide →