# FrameOn [Health: Active]

**Category:** 💬 Communication  
**Repository:** https://app.frameonlab.com/connect  
**Views:** 0  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/frameon

## Description
Shared project memory for teams: read projects and tasks, write updates and wiki decisions.

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What the FrameOn MCP server does

FrameOn MCP server gives AI agents access to shared project memory for team work. The available description identifies four core operations: reading projects, reading tasks, writing project updates, and writing decisions to a team wiki. This makes the server relevant when an agent needs to answer questions using current project context or record information after a discussion or task review.

The repository information does not describe a general chat, messaging, file storage, or issue-tracking integration. Its documented scope is limited to project and task access plus updates and wiki decisions. Teams evaluating it should compare those specific needs with the data and writing actions they want an agent to perform.

## Tools and capabilities

The documented capabilities are:

- Read project information.
- Read task information.
- Write project updates.
- Write decisions to a wiki.

Together, these capabilities support a read-and-write workflow. An agent can retrieve project context before responding, inspect related tasks, and then preserve a progress note or decision in the shared workspace. The supplied material does not provide exact tool names, argument formats, return schemas, permission behavior, or filtering options.

## Limitations and notes

The available source is a connection page and a short description; a README is not available. As a result, the FrameOn MCP server’s installation method, transport, authentication flow, configuration fields, environment variables, client compatibility, and license cannot be confirmed from the supplied material.

No claim can be made here about task creation, task editing, deletion, search, comments, notifications, or synchronization beyond the explicitly documented ability to read tasks and write updates or wiki decisions. Developers should verify those details on the connection page before integrating the server into an automated workflow.

The description also does not specify how project access is scoped or whether writes require approval. Treat access control, workspace selection, and write permissions as deployment questions to resolve before allowing an agent to change shared records. The FrameOn MCP server is best assessed against a narrow requirement: give an agent project and task context, then let it preserve updates and decisions in the team’s shared memory.

_Full upstream README: https://allmcps.com/mcp/frameon/readme_