Skip to main content
ClaudeWave

The LinkedIn MCP server for AI agents. Connection config and docs for Crispy (crispy.sh).

MCP ServersOfficial Registry0 stars0 forks● TypeScriptMITUpdated today
ClaudeWave Trust Score
95/100
✓ Verified
Passed
  • ✓Open-source license (MIT)
  • ✓Actively maintained (<30d)
  • ✓Clear description
  • ✓Topics declared
  • ✓Documented (README)
Last scanned: 10/13/2026
Install in Claude Code / Claude Desktop
Method: NPX · crispy-mcp
Claude Code CLI
claude mcp add crispy-mcp -- npx -y crispy-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "crispy-mcp": {
      "command": "npx",
      "args": ["-y", "crispy-mcp"],
      "env": {
        "CRISPY_API_KEY": "<crispy_api_key>"
      }
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Detected environment variables
CRISPY_API_KEY
Use cases

MCP Servers overview

# Crispy — the LinkedIn MCP server for AI agents

**Full LinkedIn access for any AI agent, via MCP.** Connect Claude, Cursor, Codex, VS Code, JetBrains, n8n, or anything that speaks MCP, and run prospecting, messaging, and campaigns with activity limits built in.

- **Website:** https://crispy.sh
- **MCP endpoint:** `https://crispy.sh/api/mcp` (Streamable HTTP)
- **Auth:** The remote endpoint supports OAuth directly. Clients that send `Authorization` can use `Bearer <your API key>`.
- **Local bridge:** `npx crispy-mcp` (stdio, for clients that cannot send headers)
- **Docs & per-client setup:** https://crispy.sh/integrations

Crispy is a hosted service, so there is no LinkedIn logic to run locally. This repository holds the connection config plus `crispy-mcp`, the official stdio bridge: a thin local MCP server that forwards every request to the hosted endpoint with your API key attached.

### Which one do I need?

| Your MCP client | Use this |
| --- | --- |
| Supports remote servers with custom headers (Claude Code, Cursor, VS Code, Windsurf, n8n) | The remote endpoint directly. Fewer moving parts, no local process. |
| Only supports local `command` / `args` servers, or cannot set headers | `npx crispy-mcp`, the stdio bridge below. |

The bridge is a transparent proxy. It does not define its own tools, so every tool Crispy ships is available through it the moment it goes live.

---

## What you can do

One API key gives any AI agent the full LinkedIn surface:

- **Find leads** — search people and companies, run saved searches, enrich profiles.
- **Message** — send connection requests, direct messages, and InMail; triage and reply in your inbox.
- **Run campaigns** — multi-step outreach sequences with paced sending.
- **Manage content** — draft, schedule, and analyze posts; track engagement.

Every account gets activity limits, plus optional warm-up when enabled.

---

## Quick start

1. Create an account at https://crispy.sh and connect your LinkedIn.
2. Generate an API key in the dashboard.
3. Add Crispy to your MCP client using one of the configs below. Replace `YOUR_API_KEY` with your key.

### Claude Code

```bash
claude mcp add --transport http crispy https://crispy.sh/api/mcp \
  --header "Authorization: Bearer YOUR_API_KEY"
```

### Claude Desktop

Claude Desktop connects remote servers through the Connectors settings: add a custom connector pointing at `https://crispy.sh/api/mcp` with the `Authorization: Bearer YOUR_API_KEY` header.

If your build cannot set a header, use the stdio bridge instead. `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "crispy": {
      "command": "npx",
      "args": ["-y", "crispy-mcp"],
      "env": {
        "CRISPY_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}
```

### Cursor

`~/.cursor/mcp.json`

```json
{
  "mcpServers": {
    "crispy": {
      "url": "https://crispy.sh/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "crispy": {
      "url": "https://crispy.sh/api/mcp",
      "type": "http",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
```

### Windsurf

`~/.codeium/windsurf/mcp_config.json`

```json
{
  "mcpServers": {
    "crispy": {
      "serverUrl": "https://crispy.sh/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
```

### n8n

1. Add an **MCP Client** node to your workflow.
2. Set the Server URL to `https://crispy.sh/api/mcp`.
3. Add a header: `Authorization` = `Bearer YOUR_API_KEY`.
4. The node auto-discovers all available tools.

### Any HTTP client (verify the connection)

```bash
curl -X POST https://crispy.sh/api/mcp \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'
```

Full per-client walkthroughs (including JetBrains, Codex, and more) live at https://crispy.sh/integrations.

---

## The local stdio bridge: `npx crispy-mcp`

Some MCP clients can only launch a local process and cannot attach an `Authorization` header to a remote server. `crispy-mcp` closes that gap. It runs as a local stdio MCP server and proxies every request straight to `https://crispy.sh/api/mcp`, adding your API key on the way out.

```bash
CRISPY_API_KEY=YOUR_API_KEY npx -y crispy-mcp
```

It speaks MCP on stdin and stdout, so you normally let your client start it rather than running it by hand.

### Client config

Any client that takes a `command` and `args` uses the same shape:

```json
{
  "mcpServers": {
    "crispy": {
      "command": "npx",
      "args": ["-y", "crispy-mcp"],
      "env": {
        "CRISPY_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}
```

Claude Code, from the command line:

```bash
claude mcp add crispy --env CRISPY_API_KEY=YOUR_API_KEY -- npx -y crispy-mcp
```

VS Code uses `servers` instead of `mcpServers`, with the same `command`, `args` and `env` keys.

### Options

| Setting | How to pass it | Default |
| --- | --- | --- |
| API key | `CRISPY_API_KEY` env var, or `--api-key <key>` | required, no default |
| Endpoint | `CRISPY_MCP_URL` env var | `https://crispy.sh/api/mcp` |
| Error detail | `CRISPY_MCP_UNSAFE_ERROR_DETAIL` env var, exactly `1` | off — see below |

Requires Node 18 or newer. Start it with no key and it exits non-zero, naming both ways to supply one and pointing at https://crispy.sh/dashboard/api-keys.

Your key is sent to Crispy and nowhere else. It is never written to a log line or into an error message, even if the upstream response happens to echo it back.

### What an error message may contain

When a request fails, the bridge builds the message out of four things and nothing else:

- the numeric HTTP status code,
- the byte length of the response body,
- its own fixed wording,
- the endpoint, reduced to its origin and the *shape* of its path.

So a failed call reads `Crispy returned HTTP 500: <54 bytes, not shown>`.

Not a byte of the response body or the HTTP reason phrase appears, however harmless it looks. Those are strings the server on the other end chooses, and any string can carry a credential in *some* printable encoding — base64, hex, `&#65;` entities. Filtering for the encodings somebody thought of is a game whose other player moves last. The bridge does not play it: these messages go to stderr *and* back to your MCP client as a JSON-RPC error, so it says only what it composed itself.

### `CRISPY_MCP_UNSAFE_ERROR_DETAIL`

That costs you a real diagnostic. `rate limit exceeded` from Crispy's own API becomes a byte count, and a 400 you are trying to debug becomes a number. Set `CRISPY_MCP_UNSAFE_ERROR_DETAIL=1` to get it back:

```json
{
  "mcpServers": {
    "crispy": {
      "command": "npx",
      "args": ["-y", "crispy-mcp"],
      "env": {
        "CRISPY_API_KEY": "YOUR_API_KEY",
        "CRISPY_MCP_UNSAFE_ERROR_DETAIL": "1"
      }
    }
  }
}
```

**`UNSAFE` is not decoration.** With it on, whatever the upstream put in the response body goes onto stderr and into your client's error field. If that server reflects your API key back — a proxy logging the `Authorization` header, a debug build echoing the request — your key lands wherever your client writes its errors. The bridge still subtracts the key from the text on a **best-effort** basis, and best-effort is the honest word for it: it catches a key echoed verbatim and is defeated by any encoding of one. Do not treat it as a safety net.

Only the exact value `1` turns it on. `true`, `yes`, `on` and `0` all leave it off, so it cannot be enabled by a truthy string pasted into a config. It changes nothing else: the endpoint is still reduced, the key is still never in a header dump, and every other bound is unchanged.

### Why it is a proxy and not a reimplementation

The bridge forwards `initialize`, `tools/list`, `tools/call` and every other method untouched, and returns the response untouched. There is no hardcoded tool list to go stale, so new Crispy tools work the day they ship.

---

## Why Crispy

- **Native MCP server, REST API, and CLI** — not a browser extension.
- **Works with any AI agent** — Claude, Cursor, Codex, VS Code, JetBrains, n8n, and anything that speaks MCP or HTTP.
- **Activity limits, plus optional warm-up when enabled**.
- **One flat per-seat price, every tool included** — no add-ons, no per-action metering.
- **150+ LinkedIn tools from one API key.**

---

## Links

- Homepage: https://crispy.sh
- MCP server overview: https://crispy.sh/linkedin-mcp-server
- REST API: https://crispy.sh/linkedin-api
- Integrations & setup guides: https://crispy.sh/integrations
- Outreach benchmarks: https://crispy.sh/linkedin-outreach-benchmarks

## Development

The bridge lives in `src/`, with tests that mock the upstream endpoint and never touch the network.

```bash
npm install
npm run build
npm test
```

Point the bridge at a local test server with `CRISPY_MCP_URL`.

## License

MIT. See [LICENSE](LICENSE). This covers the `crispy-mcp` bridge, the documentation and the configuration in this repository; the Crispy service itself is proprietary.
ai-agentsclaudelinkedinlinkedin-apimcpmcp-servermodel-context-protocolsales-automation

What people ask about crispy-mcp

What is shyftai/crispy-mcp?

+

shyftai/crispy-mcp is mcp servers for the Claude AI ecosystem. The LinkedIn MCP server for AI agents. Connection config and docs for Crispy (crispy.sh). It has 0 GitHub stars and its last recorded update is dated 2026-10-13.

How do I install crispy-mcp?

+

You can install crispy-mcp by cloning the repository (https://github.com/shyftai/crispy-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is shyftai/crispy-mcp safe to use?

+

Our security agent has analyzed shyftai/crispy-mcp and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains shyftai/crispy-mcp?

+

shyftai/crispy-mcp is maintained by shyftai. The last recorded GitHub activity is dated 2026-10-13, with 0 open issues.

Are there alternatives to crispy-mcp?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy crispy-mcp to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

Maintain this repo? Add a badge to your README

Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.

Featured on ClaudeWave: shyftai/crispy-mcp
[![Featured on ClaudeWave](https://claudewave.com/api/badge/shyftai-crispy-mcp)](https://claudewave.com/repo/shyftai-crispy-mcp)
<a href="https://claudewave.com/repo/shyftai-crispy-mcp"><img src="https://claudewave.com/api/badge/shyftai-crispy-mcp" alt="Featured on ClaudeWave: shyftai/crispy-mcp" width="320" height="64" /></a>

More MCP Servers

crispy-mcp alternatives