klanex MCP server
MCP serverAI & modelsklanex makes the tool calls your AI makes run reliably in the background. Failed calls are retried automatically, the same call never runs twice by accident, and every execution is recorded so you can review what happened.
Use klanex MCP server in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add klanex MCP server and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use klanex MCP server to execute
Needs your own API account. Keys stay in your vault.
Details
Available today. Use it from your connected AI after setup.
Add klanex, then have your AI run its tool calls through it to get retries, duplicate protection, and a full activity record.
What your AI can do with it
- Run tool calls in the background instead of waiting on each one
- Check each call's inputs against a defined format before it runs
- Automatically retry calls that fail
- Stop the same call from running twice
- Keep a record of every execution to review later
Install klanex MCP server
The server’s own address, for the clients that take one directly. Or connect Ahel once and every client you use reads it from one address, with the account kept on Ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http --scope user klanex-mcp-server 'https://api.klanexai.com/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://api.klanexai.com/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=klanex-mcp-server&config=eyJ1cmwiOiJodHRwczovL2FwaS5rbGFuZXhhaS5jb20vbWNwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://api.klanexai.com/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add klanex-mcp-server --url 'https://api.klanexai.com/mcp'Run it once, then sign in with codex mcp login klanex-mcp-server if the server asks for an account.
From the project's README
As published by chrassy/klanex-mcp in README.md.
Reliable execution for agent tool calls, as an MCP server.
klanex is an async execution layer between an agent's tool-use intents and real third-party APIs: it schema-gates hallucinated payloads before anything runs, absorbs rate limits and outages with retries/backoff/circuit breakers, encrypts credentials, keeps an audit trail, and reports back via signed webhooks. With this MCP server, an agent submits a call once — klanex makes sure it lands.
Failures come back written for the model: every error carries an llm_hint telling the agent exactly what to fix (or that klanex is already handling it), so agents self-correct instead of guessing.
Connect (hosted, recommended)
klanex's MCP server is hosted — no install needed if your client supports HTTP transports:
| Endpoint | Environment | Keys |
|---|---|---|
https://api.klanexai.com/mcp | production | klx_live_… |
https://api.sandbox.klanexai.com/mcp | sandbox (free to try) | klx_test_… |
Get an API key at klanexai.com — sandbox keys are free.
Claude Code
claude mcp add --transport http klanex https://api.klanexai.com/mcp \
--header "X-API-Key: klx_live_..."
Cursor / Windsurf / VS Code (mcp.json)
{
"mcpServers": {
"klanex": {
"url": "https://api.klanexai.com/mcp",
"headers": { "X-API-Key": "klx_live_..." }
}
}
}
Authorization: Bearer klx_... works too, for clients that can only set that header.
Connect (stdio shim)
For clients that only speak stdio (e.g. Claude Desktop), this package proxies stdio to the hosted endpoint:
{
"mcpServers": {
"klanex": {
"command": "npx",
"args": ["-y", "klanex-mcp"],
"env": { "KLANEX_API_KEY": "klx_live_..." }
}
}
}
The shim routes by key prefix — klx_test_… keys go to the sandbox automatically. Set KLANEX_MCP_URL to override.
Tools
| Tool | What it does |
|---|---|
execute | Submit an HTTP call for reliable async execution: optional JSON Schema gate, retries/backoff/circuit breakers, idempotency keys, human approval gates, encrypted credentials. wait_seconds blocks up to 55s for the terminal result. |
get_execution | Current status, attempts, target response, or classified error for an execution. |
list_executions | The account's executions, filterable by status/time, paginated. |
replay_execution | Re-run a terminal execution byte-exact — outage recovery without re-prompting the LLM. |
get_usage | Plan and current-month usage/quota. |
list_connections | Stored credential connections (token vault) to reference via connection_id — so secrets never pass through model context. |
Why this beats calling APIs directly
- Hallucinated payloads are rejected before they execute — pass
payload_schemaand mismatches return synchronously with a correction hint. - Transient failures are not the agent's problem — 429s, timeouts, and 5xxs are retried with backoff behind a circuit breaker; the agent does nothing.
- A network blip can never double-execute a refund —
idempotency_keymakes submits safe to retry. - Destructive actions can wait for a human —
requires_approvalpauses execution for an approve/reject decision (API, dashboard, or Slack buttons). - Credentials stay out of model context — store them once as a connection; klanex injects them at execution time.
Full API docs: api.klanexai.com/docs
License
MIT
Tools it offers (6)
What this server listed when Ahel dialed its public endpoint in Oct 2026, with no key and no account of yours. The names are the server’s own.
executeget_executionget_usagelist_connectionslist_executionsreplay_execution
Signals
- Last commit
- Sep 2026
- Weekly downloads
- 33
- Weekly_downloads
- 33 weekly_downloads
Advanced
- Delivery
- klanex MCP server → your Ahel connector (mcp.ahel.ai) → your AI.
- Item type
- mcp-server
- Key
io-github-chrassy-klanex- Source
- github.com/chrassy/klanex-mcp
- Hosted endpoint
https://api.klanexai.com/mcp
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