The runtime layer for Agentic AI. Persistent memory, autonomous agents, and workflows that survive every session. MCP server: @finchagentic/mcp
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
claude mcp add mcp -- npx -y -p{
"mcpServers": {
"mcp": {
"command": "npx",
"args": ["-y", "-p"]
}
}
}Resumen de MCP Servers
<div align="center">
<img src="assets/banner.svg" alt="Finch MCP" width="100%"/>
# Finch MCP
[](https://www.npmjs.com/package/@finchagentic/mcp)
[](https://registry.modelcontextprotocol.io)
[](LICENSE)
[](package.json)
[](#what-you-get)
**The runtime layer for Agentic AI.**
Persistent memory, autonomous agents, and workflows that survive every session.
[App](https://app.finchagentic.com) · [Docs](https://docs.finch.com) · [npm](https://www.npmjs.com/package/@finchagentic/mcp) · [X](https://x.com/finchagentic)
</div>
---
Most AI assistants disappear when the conversation ends. **Finch** gives them lasting state — memory that accumulates, agents that keep running, vaults that version knowledge, and workflows that continue after you close the chat.
## Why Finch
| | Without Finch | With Finch |
|--|---------------|------------|
| **Memory** | Resets every session | Full-text searchable + versioned vault, decays stale notes |
| **Agents** | One-shot tool calls | Named agents with state and audit history |
| **Workflows** | Manual chaining | Automations, monitors, packets, deep research |
| **Local** | Cloud-only | Vault + memory can run fully on your machine |
## Install
Always pin the version. Never use `@latest`.
```bash
# One-command installer (detects common MCP clients)
npx -y -p @finchagentic/mcp@4.6.2 finch install
```
### Claude Code
```bash
claude mcp add finch -s user -- npx -y -p @finchagentic/mcp@4.6.2 finch-mcp
```
### Cursor / Windsurf / Claude Desktop
```json
{
"mcpServers": {
"finch": {
"command": "npx",
"args": ["-y", "-p", "@finchagentic/mcp@4.6.2", "finch-mcp"]
}
}
}
```
### Hermes
```bash
hermes mcp add finch -- npx -y -p @finchagentic/mcp@4.6.2 finch-mcp
```
<details>
<summary>Config file paths</summary>
| Client | Path |
|--------|------|
| Claude Desktop (Mac) | `~/Library/Application Support/Claude/claude_desktop_config.json` |
| Claude Desktop (Windows) | `%APPDATA%\Claude\claude_desktop_config.json` |
| Cursor | `.cursor/mcp.json` |
| Windsurf | `~/.codeium/windsurf/mcp_config.json` |
| VS Code | `.vscode/mcp.json` |
| Zed | `.config/zed/settings.json` |
</details>
No LLM API key required to start — 111 of 116 tools are plain reads/writes/on-chain calls your client's model already drives. Tools load on first use.
## Quick start
```bash
finch doctor # health check
finch setup # local vault / memory / providers
finch vault # inspect local vault
finch orders # schedule Robinhood Chain DCA / TP-SL order ticks
```
Try in your MCP client:
```
remember: I prefer conservative DeFi strategies, max 5% risk
spawn an agent called research-bot to track AI agent news, update it after each session
save this thesis to vault
```
## What you get
**116 tools** across four pillars:
| Pillar | What it does |
|--------|----------------|
| **Memory** | Full-text searchable memory + versioned vault + chronicle |
| **Agents** | Spawn, recall, update named agents — `agent_recall` also pulls related memory/vault context matching the agent's goal |
| **Workflows** | Automations, monitors, packets, deep research (auto-saves reports + auto-links related past research) |
| **Execution** | Base DeFi, Robinhood Chain, market data, web, GitHub |
`deep_research` auto-saves its report to vault and links related past reports; `code_session_save` does the same for coding sessions. `vault_save` and `agent_spawn` accept an optional `workspaceProject` matching the webapp's Projects.
Default palette is `core` (lighter context). Full set:
```json
"env": { "FINCH_TOOLS": "all" }
```
## Fully local
Finch is the runtime. **Your LLM is the brain. Your data stays yours.**
```bash
npx -y -p @finchagentic/mcp@4.6.2 finch setup
```
| Piece | Location |
|-------|----------|
| Vault | `~/.finch/vault/` |
| Wallet | `~/.finch/wallet.json` |
| Config | `~/.finch/config.json` |
| Brain | your MCP client's model |
## Registry
Finch is listed in the [official MCP Registry](https://registry.modelcontextprotocol.io):
```json
{ "name": "io.github.finchagentic/mcp", "version": "4.6.2" }
```
## Development
This repository ships the published npm distribution. See [CHANGELOG.md](CHANGELOG.md) for release history and [SECURITY.md](SECURITY.md) for the security model.
```bash
npm ci
npm run smoke # verify package integrity + CLI entrypoints
```
## Support
- Issues: [github.com/finchagentic/mcp/issues](https://github.com/finchagentic/mcp/issues)
- Docs: [docs.finch.com](https://docs.finch.com)
- X: [@finchagentic](https://x.com/finchagentic)
<div align="center">
**Finch** — memory that survives every session.
</div>
Lo que la gente pregunta sobre mcp
¿Qué es finchagentic/mcp?
+
finchagentic/mcp es mcp servers para el ecosistema de Claude AI. The runtime layer for Agentic AI. Persistent memory, autonomous agents, and workflows that survive every session. MCP server: @finchagentic/mcp Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-09-13.
¿Cómo se instala mcp?
+
Puedes instalar mcp clonando el repositorio (https://github.com/finchagentic/mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar finchagentic/mcp?
+
Nuestro agente de seguridad ha analizado finchagentic/mcp y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene finchagentic/mcp?
+
finchagentic/mcp es mantenido por finchagentic. La última actividad registrada en GitHub es del 2026-09-13, con 0 issues abiertos.
¿Hay alternativas a mcp?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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