# Stele MCP MCP Server

> **Stele MCP MCP Server** is a hosted, multitenant Model Context Protocol (MCP) server run by **MewCP** (https://mewcp.com), giving AI agents managed access to Stele MCP.
>
> MewCP takes care of all MCP infrastructure for you — credential storage, OAuth flows,
> token refresh, and production-grade auto-scaling — so your AI agents can connect to
> third-party services and run freely without you managing any MCP server yourself.
>
> Server page:  https://mewcp.com/mcp/stele-mcp
> MewCP docs:   https://docs.mewcp.com
> Full catalog: https://mewcp.com/llms.txt

---

## About

Stele provides shared, persistent project memory for AI coding agents, storing linked decisions, lessons, risks, and tasks in a knowledge graph. Agents can search project context, coordinate task ownership, track handoffs, and maintain up-to-date knowledge across sessions and coding tools.

---

## Details

- Server ID: `stele-mcp`
- Version: 0.57.0
- Tools: 20
- Authentication: OAuth, managed by MewCP
- Transport: http

---

## Access

The gateway URL below serves your **entire MewCP toolset**, not this server on its
own. Pasting a config snippet is not enough — Stele MCP has to be in the toolset
first. In order:

1. Add Stele MCP to your toolset at https://mewcp.com/mcp/stele-mcp
2. Connect your Stele MCP account (OAuth); MewCP stores the credential and attaches it to each call
3. Copy your MewCP API key from the dashboard (Developer)
4. Configure your client with the snippet for it below

Once connected, an agent does **not** see this server's tools as top-level tools.
It sees four meta-tools and reaches everything through them:

- `search(query)` — find tools by keyword across the toolset
- `get_schema(tools)` — full description and arguments for the tools you picked
- `list_accounts(provider)` — only when one app has several connected accounts
- `call_tool(server_maskedId, tool_name, args)` — execute

So the list below is what `search` can return for this server, not a set of
callable tool names on their own.

---

## Tools (20)

Descriptions are truncated to 160 characters; call `get_schema`
for the full text and the argument schema. Where a tool is annotated, its type
is shown — treat `destructive` as irreversible.

- `recall` _(read)_ — One-call semantic + full-text recall over the graph — a ranked bundle of the decisions, tasks, risks, and documents most relevant to a question or topic. The…
- `search` _(read)_ — Find nodes or documents by the words they contain. Nothing here matches by meaning, so use `recall` for a natural-language question. method "keyword"…
- `fetch` _(read)_ — Fetch one node in full by its shareable id (TASK-N/KNOW-N/COMP-N/DOC-N/DIAG-N/EPIC-N/NODE-N), with its edges — this is how you read a full body (recall/search…
- `list_tasks` _(read)_ — List tasks, most-recently-updated first, filterable by status, component, assignee, and kind — the roadmap/board view of work. It returns task cards without…
- `list` _(read)_ — List a collection: what = nodes | components | topics | documents | diagrams | objectives | workspaces | comments | node_versions | projects, with per-what…
- `inspect` _(read)_ — Look at what surrounds one node or the whole project: its connections, its history, and the project's state. Read-only. Use `fetch` for a node's own content,…
- `project` _(write)_ — Manage projects. action = create (bootstrap a new project and its root component, owned by you). This is the first thing to call when you have no project yet;…
- `task` _(write)_ — Task lifecycle. action = create | claim | complete | release | reopen | force_release | loop_finalize. Claim before you start and complete when done — these…
- `knowledge` _(write)_ — Capture or curate knowledge. action = create (file a typed fact — decision, lesson, risk, …) | review (mark a node re-verified against current reality). create…
- `node` _(write)_ — Edit a node or its structure. action = update (edit fields/body) | move (re-file under a component or workspace) | link (add a typed edge between two nodes).…
- `objective` _(write)_ — Shape the roadmap. action = create | add_milestone | attach (task → milestone) | move (task → objective) | detach | reorder | set_target | achieve. Retiring an…
- `workspace` _(write)_ — Manage a workspace overlay. action = create | update. Hosted MCP is stateless, so checkout-local activate/deactivate actions are not exposed; promoting or…
- `comment` _(destructive)_ — Discuss on a node. action = add | update | resolve (mark a thread settled) | delete (soft tombstone; replies are preserved). Replies are one level deep: reply…
- `document` _(write)_ — Create long-form artifacts. action = create (a document — a plan, spec, or imported file) | create_diagram (a d2 diagram node). For create, pass the body…
- `timeline` _(write)_ — The project's Timeline: automatic events captured on graph writes and task lifecycle actions, plus one-line custom entries. action = list (read it, newest…
- `organize` _(write)_ — Housekeeping: change how the project is organized. It never edits a node's content; use `node`, `knowledge` or `task` for that. Actions: add_component: create…
- `destructive` _(destructive)_ — Operations that require extra caution or confirmation. dedupe_knowledge is a read-only candidate scan; the remaining actions are consequential. Action names…
- `open_stele` _(read)_ — Open the Stele app for the user: browse their projects, open tasks, recent activity, and search. Use it when the user wants to see or browse their project, not…
- `open_project_board` _(read)_ — Open the Stele project board beside this conversation, so the user can watch tasks while you work on them.
- `show_node` _(read)_ — Show one Stele node (a task, knowledge entry, or document) to the user as a card in the conversation: its title, status, body, links, and provenance. Use it…

---

## Connect

Gateway URL: https://gateway.mewcp.com/personal/mcp

Every request carries one header:

    Authorization: Bearer <API_KEY>

Replace `API_KEY` with your own key from the dashboard (Developer).

## Apps

### Claude Desktop

Mac & Windows app

- macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
- Windows: `%APPDATA%\Claude\claude_desktop_config.json`

```json
{
  "mcpServers": {
    "mewcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://gateway.mewcp.com/personal/mcp",
        "--header",
        "Authorization: Bearer API_KEY"
      ]
    }
  }
}
```

Already have an "mcpServers" section in your config? Just add the server entry inside it.

1. Open Claude Desktop → Settings → Developer → "Edit Config"
2. Paste the snippet inside the outer { } of the config file (merge with your existing "mcpServers" section if you have one)
3. Save the file and restart Claude Desktop
4. Start a new conversation — your tool will be available

### VS Code

Copilot / Cline

- Command Palette → "MCP: Open User Configuration" (opens mcp.json). For one project only, use .vscode/mcp.json instead.

```json
{
  "mcp.servers": {
    "mewcp": {
      "type": "http",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have a "servers" section in your mcp.json? Just add the server entry inside it.

1. Open VS Code → Command Palette (Cmd+Shift+P / Ctrl+Shift+P)
2. Run "MCP: Open User Configuration" to open your mcp.json
3. Paste the snippet and save
4. Start the server when prompted (or from the MCP servers view) and use it in Copilot Chat

### Cursor

AI-first editor

- macOS: `~/.cursor/mcp.json`
- Windows: `%USERPROFILE%\.cursor\mcp.json`

```json
{
  "mcpServers": {
    "mewcp": {
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcpServers" section in your mcp.json? Just add the server entry inside it.

1. Open Cursor → Settings → Cursor Settings → MCP
2. Click "Add new global MCP server"
3. Paste the snippet and save
4. Restart Cursor

### Codex

OpenAI's CLI agent

- Add the snippet to your Codex MCP config or your standard MCP config file for the CLI tool you use.

```json
{
  "mcpServers": {
    "mewcp": {
      "type": "http",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Codex generally reads a standard MCP server block, so you can add this alongside your other configured servers.

1. Open your Codex MCP config or project-level config file
2. Paste the MewCP server block inside the config JSON/TOML structure your tool expects
3. Save the file and restart Codex
4. Verify the tool is available inside a fresh session

### Claude Code

Anthropic's CLI agent

- ~/.claude.json (user scope) or .mcp.json in your project root — create it if it doesn't exist. Or skip the file and use the CLI command below.

```json
{
  "mcpServers": {
    "mewcp": {
      "type": "http",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcpServers" section in your config? Just add the server entry inside it.

1. Open ~/.claude.json (or .mcp.json in your project root) in a text editor
2. Paste the snippet inside the outer { } (merge with your existing "mcpServers" section if you have one)
3. Save the file and start (or restart) Claude Code
4. Or skip the file entirely and run the CLI command below instead

### OpenCode

Open-source terminal agent

- ~/.config/opencode/opencode.json (global) or opencode.json in your project root — create it if it doesn't exist.

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mewcp": {
      "type": "remote",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "enabled": true,
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcp" section in your opencode.json? Just add the server entry inside it.

1. Open ~/.config/opencode/opencode.json (or opencode.json in your project root) in a text editor
2. Paste the snippet inside the outer { } (merge with your existing "mcp" section if you have one)
3. Save the file and start (or restart) OpenCode

### OpenClaw

Self-hosted agent gateway

- ~/.openclaw/openclaw.json — create it if it doesn't exist.

```json
{
  "mcp": {
    "servers": {
      "mewcp": {
        "transport": "streamable-http",
        "url": "https://gateway.mewcp.com/personal/mcp",
        "enabled": true,
        "headers": {
          "Authorization": "Bearer API_KEY"
        }
      }
    }
  }
}
```

Already have an "mcp" section in your openclaw.json? Just add the server entry inside "servers".

1. Open ~/.openclaw/openclaw.json in a text editor
2. Paste the snippet inside the outer { } (merge with your existing "mcp" section if you have one)
3. Save the file and restart OpenClaw

### Antigravity

Google's agentic IDE

- ~/.gemini/config/mcp_config.json (global) or .agents/mcp_config.json (workspace-local) — create it if it doesn't exist.

```json
{
  "mcpServers": {
    "mewcp": {
      "serverUrl": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcpServers" section in your config? Just add the server entry inside it. Remote servers must use the "serverUrl" field — the legacy "url"/"httpUrl" fields aren't supported.

1. In the editor's agent side panel, click "…" → "MCP Servers" → "Manage MCP Servers" → "View raw config" (Antigravity CLI: type /mcp instead to open the Interactive MCP Manager)
2. Paste the snippet inside the outer { } (merge with your existing "mcpServers" section if you have one)
3. Save the file — the server connects automatically

### Hermes

Nous Research's CLI agent

- config.yaml in your Hermes config directory (~/.hermes) — add this under a top-level "mcp_servers:" key.

```yaml
mcp_servers:
  mewcp:
    url: "https://gateway.mewcp.com/personal/mcp"
    headers:
      Authorization: "Bearer API_KEY"
```

Already have an "mcp_servers" section in your config.yaml? Just add the server entry inside it.

1. Open config.yaml in your Hermes config directory
2. Paste the snippet under the top-level "mcp_servers:" key (merge with existing entries if you have any)
3. Save the file, then run /reload-mcp in Hermes (or start a fresh session)
4. Ask Hermes "Tell me which MCP-backed tools are available right now" to confirm it connected

### DeepSeek Harness

DeepSeek's agent harness

- cordis.yml in your DSH project — or the patch file you mount plugins from.

```yaml
- id: mcp-mewcp
  name: '@deepseek-ai/dsh-mcp-client'
  config:
    serverName: mewcp
    transport: streamable-http
    url: https://gateway.mewcp.com/personal/mcp
    headers:
      Authorization: "Bearer API_KEY"
```

One plugin instance = one MCP server. Add this entry to your plugin list; don't nest it inside another entry.

1. Open cordis.yml (or your patch file) in your DSH project
2. Paste the entry into your plugin list, keeping the leading dash and indentation
3. Restart DSH (or let HMR reload) — tools register as mcp__mewcp__<tool_name>
4. Verify with: dsh web --dump-config | grep -A3 mcp

## SDKs

### Python

fastmcp client

```python
import asyncio
from fastmcp import Client
from fastmcp.client.transports import StreamableHttpTransport

SERVER_URL = "https://gateway.mewcp.com/personal/mcp"
API_KEY = "API_KEY"

transport = StreamableHttpTransport(
    url=SERVER_URL,
    headers={
        "Authorization": f"Bearer {API_KEY}",
    }
)

async def main():
    client = Client(transport)
    async with client:
        tools = await client.list_tools()
        print(tools)

asyncio.run(main())
```

1. Install fastmcp: pip install fastmcp
2. Copy the snippet into your project
3. Replace API_KEY with your key from the dashboard
4. Run your script

### TypeScript

MCP SDK

```typescript
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const SERVER_URL = "https://gateway.mewcp.com/personal/mcp";
const API_KEY = "API_KEY";

const transport = new StreamableHTTPClientTransport(new URL(SERVER_URL), {
  requestInit: {
    headers: {
      Authorization: `Bearer ${API_KEY}`,
    },
  },
});

const client = new Client({ name: "mewcp-client", version: "1.0.0" });
await client.connect(transport);

const tools = await client.listTools();
console.log(tools.tools.map((t) => t.name));
```

1. Install: npm install @modelcontextprotocol/sdk
2. Copy the snippet into your project
3. Replace API_KEY with your key from the dashboard
4. Run with Node 18+ as an ES module (e.g. npx tsx script.ts)