Fellow.ai MCP integration for AI agents
Insiro connects AI agents to Fellow.ai MCP so they can act in it under your rules. Fellow.ai MCP is a meeting productivity platform for notes, transcripts, events, agendas, and action items. Centralize meeting context and turn conversations into trackable action items. Every Fellow.ai MCP action runs through Insiro's governed gateway, using each person's own connection (OAuth).
What can AI agents do with Fellow.ai MCP?
With Insiro, agents can create and update tasks from requests, summarise progress and blockers for a weekly update, move work between stages when conditions are met and assign owners and due dates, all inside the permissions you set for Fellow.ai MCP.
- Create and update tasks from requests.
- Summarise progress and blockers for a weekly update.
- Move work between stages when conditions are met.
- Assign owners and due dates.
A journey through Insiro
Fellow.ai MCPInsiroSlackExample: Fellow.ai MCP → Insiro → Slack to post a weekly progress digest to the team channel. Insiro checks permissions, applies approvals and records the evidence at every hop.
Frequently asked questions about Fellow.ai MCP
Can Insiro AI agents use Fellow.ai MCP?
Yes. Insiro connects AI agents to Fellow.ai MCP through its governed MCP gateway. Agents can create and update tasks from requests and summarise progress and blockers for a weekly update using each person's own Fellow.ai MCP access, with read-only as the default and approvals for actions that change data.
How does Insiro connect to Fellow.ai MCP?
Fellow.ai MCP connects with OAuth. Each user connects their own account once; Insiro stores the credential encrypted and brokers it to the tool only at the moment of a call, so models never see it. Admins can also register a workspace-level connection.
Can I make Fellow.ai MCP read-only for agents?
Yes. In Insiro Governance, set Fellow.ai MCP to Off, Read only, or Read and write in a click. Write actions can require confirmation or owner approval by risk tier, and every call is logged with the user, tool, tokens and cost.
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A 30-minute working session: we connect one data source and one app, then run a governed agent on a task you choose.
- 13governance checks on every agent tool call
- 1,700+SaaS apps agents can act in
- 30+data dialects for plain-English questions