Our public MCP repo for Tallyfy
- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Clear description
claude mcp add mcp-public -- python -m -r{
"mcpServers": {
"mcp-public": {
"command": "python",
"args": ["-m", "-r"]
}
}
}Resumen de MCP Servers
# Tallyfy MCP Server
[](./LICENSE)
[](https://modelcontextprotocol.io)
The official [Model Context Protocol](https://modelcontextprotocol.io) server for **[Tallyfy](https://tallyfy.com)**, the workflow and process automation platform. It lets any MCP-capable AI assistant run your operations: create and track tasks, launch and advance processes, read and edit templates, fill form fields, manage people and groups, and search across your organization, all through your own authenticated Tallyfy account.
> **This repository is an automatically published, read-only mirror.** The canonical source is maintained privately by Tallyfy and a sanitized, server-only snapshot is published here on every production release. Please do not open pull requests against this mirror (they cannot be merged here). For bugs or feature requests, use the issue tracker or contact us (see [Support](#support)). Hosting, deployment, and monitoring code is intentionally not part of this mirror.
## Connect (hosted, recommended)
Tallyfy runs a managed remote server. You do not need to host anything. Point your MCP client at:
```
https://mcp.tallyfy.com/
```
Transport is streamable HTTP and authentication is OAuth against your Tallyfy account, so the assistant only ever sees data the signed-in user is allowed to see.
<details>
<summary>Example client config</summary>
```json
{
"mcpServers": {
"tallyfy": {
"type": "streamable-http",
"url": "https://mcp.tallyfy.com/"
}
}
}
```
</details>
## What it can do
108 tools across the Tallyfy domain, grouped by area:
| Area | Examples |
|------|----------|
| Tasks | create, complete, reassign, comment on, and search tasks |
| Processes (runs) | launch a process from a template, advance and track steps |
| Templates (checklists) | read, create, and edit templates and their steps |
| Form fields | read and populate kick-off and step form fields |
| Automation | inspect and manage automated actions / rules |
| People & access | users, groups, guests, organization membership |
| Organization | tags, folders, comments, search across the org |
Every tool calls the public Tallyfy API on behalf of the authenticated user. There are no write operations the signed-in user could not perform in the Tallyfy app directly.
**Doing bulk or scripted work?** This server is tuned for interactive, conversational use and limits how much one request can do at once. For high-volume or headless automation (launching processes from a CSV, exporting every template to disk, multi-org loops, CI/CD approval gates), reach for the first-party [`tallyfy` CLI](https://github.com/tallyfy/cli) instead. It is built for deterministic, scriptable batch operations. Install with `brew install tallyfy/tap/tallyfy` or grab a binary from the [releases page](https://github.com/tallyfy/cli/releases).
## Run it yourself
You can build and run the server from this mirror with Docker:
```bash
cd server
cp ../.env.example .env # then fill in the values you need
docker build -t tallyfy-mcp-server .
docker run --rm -p 9000:9000 --env-file .env tallyfy-mcp-server
```
The server listens on port `9000` and speaks streamable HTTP at `/`. See [`.env.example`](./.env.example) for configuration. Python 3.11 is required if you prefer to run it without Docker (`pip install -r server/requirements.txt`, then `uvicorn server:app` from inside `server/`).
## Listed on
- [Official MCP Registry](https://registry.modelcontextprotocol.io) (`com.tallyfy/mcp-server`)
- [Smithery](https://smithery.ai/server/@tallyfy-inc/mcp-server)
- [Glama](https://glama.ai/mcp/connectors/com.tallyfy/mcp-server)
- [PulseMCP](https://www.pulsemcp.com/servers/tallyfy)
## Security
Tools are scoped to the authenticated user, inputs are validated and the outbound API surface is allowlisted. We disclose no static credentials in this repository: all secrets are supplied at runtime via environment variables. If you find a security issue, please email **security@tallyfy.com** rather than opening a public issue.
## Support
- Product docs: https://tallyfy.com/products/pro/integrations/mcp-server/
- Help / contact: https://tallyfy.com/contact/
## License
[Apache License 2.0](./LICENSE) © Tallyfy, Inc.
Lo que la gente pregunta sobre mcp-public
¿Qué es tallyfy/mcp-public?
+
tallyfy/mcp-public es mcp servers para el ecosistema de Claude AI. Our public MCP repo for Tallyfy Tiene 0 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala mcp-public?
+
Puedes instalar mcp-public clonando el repositorio (https://github.com/tallyfy/mcp-public) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar tallyfy/mcp-public?
+
Nuestro agente de seguridad ha analizado tallyfy/mcp-public y le ha asignado un Trust Score de 79/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene tallyfy/mcp-public?
+
tallyfy/mcp-public es mantenido por tallyfy. La última actividad registrada en GitHub es de today, con 0 issues abiertos.
¿Hay alternativas a mcp-public?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
Despliega mcp-public en tu cloud
Lleva este repo a producción en minutos. Cada plataforma genera su propio entorno con variables de entorno editables.
¿Mantienes este repo? Añade un badge a tu README
Pega el badge en tu README de GitHub para mostrar que está auditado por ClaudeWave. Cada badge enlaza de vuelta a esta página y muestra el Trust Score actual.
[](https://claudewave.com/repo/tallyfy-mcp-public)<a href="https://claudewave.com/repo/tallyfy-mcp-public"><img src="https://claudewave.com/api/badge/tallyfy-mcp-public" alt="Featured on ClaudeWave: tallyfy/mcp-public" width="320" height="64" /></a>Más MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
The fastest path to AI-powered full stack observability, even for lean teams.
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface