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AILANG Executor MCP Server

answering

AILANG Executor is answering right now. Last checked 12 min ago. It exposes 29 tools. Last commit 13 Nov 2026.

Write, type-check and run AILANG in a sandbox, with Z3-proved contracts and docs search.

Uptime history 10 hours of history
10 hours agonow
100.0%
Uptime 24h
37 of 37 checks
29
Tools
read from the server
164 ms
Response time
average over 24h
38
Stars
last commit 13 Nov 2026

What changed 6

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 13 November 2026. No other catalogue keeps this.

13 Nov 5 tool descriptions were rewritten docs_nav, docs_search, executor_whoami and 2 more
13 Nov a tool changed the parameters it asks for submit_feedback

Nothing serious here today

Today is the operative word: we check AILANG Executor every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add ailang-executor --transport http https://executor.ailang.sunholo.com/mcp/connect/
Settings → Connectors → Add custom connector, then paste this address
https://executor.ailang.sunholo.com/mcp/connect/
~/.codex/config.toml
[mcp_servers.ailang-executor]
url = "https://executor.ailang.sunholo.com/mcp/connect/"
.cursor/mcp.json
{
  "mcpServers": {
    "ailang-executor": {
      "url": "https://executor.ailang.sunholo.com/mcp/connect/"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "ailang-executor": {
      "type": "http",
      "url": "https://executor.ailang.sunholo.com/mcp/connect/"
    }
  }
}

Available tools 29

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

ailang
ailang_builtins
List AILANG builtin functions with documentation, grouped by module. `search` filters lines case-insensitively; empty returns everything.
ailang_check
Type-check AILANG source. `code` is a whole module; the module line may be omitted or be `module main`. Returns the ai-check JSON report on stdout: check.passed and check.errors (with locations and fixes), and verify: each function's requires/ensures proved with Z3 (verify.results: verified, counterexample with a witness, or inconclusive after 5s per function). Only `pure` functions (or `! {}`) are proved; others report skipped/NOT_PURE. `verification` names the overall result; "unavailable" means this server had no solver, so the code was type-checked only and its contracts were not proved (prove them locally with `ailang verify`).
ailang_eval
Evaluate one pure AILANG expression and print it with show(). Builtins are in scope; for stdlib functions (map, filter, ...) use ailang_run with explicit imports.
ailang_prompt
Call this FIRST: the AILANG teaching prompt (syntax rules, templates, stdlib map). AILANG is not in your training data the way Python is; code written without this prompt rarely type-checks.
ailang_run
Run AILANG source in the hosted sandbox. Entry point is `main`, with no arguments. Only the IO capability is granted (println works; FS, Net, Process, Env and AI are refused by name before the program starts), and the run is killed at the policy timeout. stdout is the program's output; stderr carries the policy decision JSON.
ailang_versions
List all AILANG versions the server can answer for.
benchmarks
benchmarks_compare
Pairwise model comparison. Output: {a_only_passes, b_only_passes, both, neither}
benchmarks_for_model
Where does a given model pass/fail? Optional version filter. Output: {passes: [...], fails_by_category: {...}, total_cost}
benchmarks_list
List benchmark suites and runs, optionally filtered to a since_version cutoff.
stdlib
stdlib_module
Full module: exports + signatures + docstrings.
stdlib_modules
List stdlib modules available in this AILANG version with one-line summaries.
stdlib_search
Find stdlib functions by name, signature, or keyword. Filters the pre-built search index server-side; returns top 20 matches.
design
design_doc
Full design doc by slug (e.g. "m-agent-mcp-website").
design_docs_list
List planned/implemented/rejected design docs, optionally filtered by version. state = "planned" | "implemented" | "rejected" | ""; empty = all.
docs
docs_nav
The AILANG docs site's navigation tree for a version, as JSON: section and page titles with their paths.
docs_search
Full-text search of the AILANG documentation for a version (case-insensitive, on page titles and text). Returns the top 10 matches, docs pages before archived teaching prompts, each with its path, title, first 10 headings and an excerpt around the match.
example
example_for_concept
Best-fit examples for a free-form concept query ("how do I use effects?"). Filters server-side on why + title; returns up to 5 matches.
example_get
Full source + metadata for one example by path.
benchmark
benchmark_run
One run's full result (code, compile_ok, runtime_ok, stdout_ok, cost, tokens).
changelog
changelog_for_version
What changed in a given release (added/changed/fixed/breaking).
effects
effects_catalog
All declared effects with capability mapping and the version they appeared in.
examples
examples_list
Filter examples that pass under for_version, optionally by features/status. features = comma-separated tags ("effects,records"); empty = no filter. status = "passing" | "failing" | ""; empty = passing only.
executor
executor_whoami
Which account this connection is signed in as (its user ID) and which app connected it (for example claude.ai or chatgpt.com).
install
install_guide
Harness-aware install instructions for AILANG. harness: "claude-code" | "gemini-cli" | "codex-cli" | "manual" | "build-from-source" | "" platform: only meaningful for "manual" (e.g. "darwin-arm64", "linux-amd64"); ignored otherwise Empty harness returns ALL harnesses + the remote_mcp config block.
limitations
limitations_list
Known limitations (Y-combinator, etc.) optionally filtered by category.
onboarding
onboarding_guide
Step-by-step guide to getting started with AILANG, for an AI coding agent and for a human developer. role: "agent" | "developer" | "" (both). The guide for both roles is returned whatever role says; pick the part you need.
prompt
prompt_get
Fetch the canonical teaching prompt for a version. kind = "agent" | "devtools" | "compact" (full prompt = empty).
roadmap
roadmap
What's shipping next, what's been rejected and why.
submit
submit_feedback
Send a bug report, feature request, documentation gap or limitation about AILANG to the AILANG team. Use it only when the user asks to report something, and leave out personal or confidential information. Categories: bug, feature, docs, limitation. Body up to 10 KB, snippet up to 4 KB. `contact` is optional, for a reply. `package` (vendor/name) sends the report to that AILANG package's maintainers instead. Returns a ticket ID.

Endpoints

URLTransportStateLatencyChecked
https://executor.ailang.sunholo.com/mcp/connect/ streamable-http answering 133 ms 12 min ago

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AILANG Executor — questions

Answers built from our own checks of this server.

What can AILANG Executor do?
It exposes 29 tools, read directly from the server on our last check. Among them: ailang_builtins, ailang_check, ailang_eval, ailang_prompt, ailang_run, ailang_versions and 23 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is AILANG Executor mostly used for?
Its tools cluster around ailang, stdlib and benchmarks. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is AILANG Executor working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 37 of 37 checks got a reply (100.0%), average response time 164 ms. The bar chart above shows every period we have measured.
How do I connect AILANG Executor?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does AILANG Executor need an API key?
No. AILANG Executor completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 29 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is AILANG Executor?
It answers our handshake in 164 ms on average, which is faster than 83% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is AILANG Executor open source?
The code is open source: it is published under the Apache-2.0 licence, written in Go, 38 stars on GitHub and 110 open issues. The licence covers the code in the repository, not the hosted service at executor.ailang.sunholo.com, which runs on its operator's own terms.