FellowAI MCP MCP | Api Key FellowAI MCP connector for AI agents

CALL ANY TOOL

List meetings, retrieve agendas and notes, manage action items, and track team goals.

fellow_meetings_list

List meetings

List upcoming and past meetings with optional date and attendee filters.

Parameters

Name

Type

Required

Description

status

string

Optional

Status: upcoming, past, all

limit

integer

Optional

Max meetings to return

fellow_meeting_get

Get meeting

fellow_action_items_list

List action items

fellow_action_item_create

Create action item

fellow_goals_list

List goals

Build your Agent

Drop the toolkit in, point it at the user, and your meeting management agent can use FellowAI MCP from the first run.

Copied

import { ScalekitClient } from "@scalekit-sdk/node";
import { DynamicStructuredTool } from "@langchain/core/tools";
import { createReactAgent } from "@langchain/langgraph/prebuilt";
import { z } from "zod";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["fellowaimcp"], toolNames: ["fellow_meetings_list", "fellow_meeting_get", "fellow_action_items_list"] },
  pageSize: 100,
});

const lcTools = tools.map((t) => new DynamicStructuredTool({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  schema: z.object({}).passthrough(),
  func: async (args) => {
    const { data } = await sk.tools.executeTool({
      toolName: t.tool.definition.name,
      identifier: "user_123",
      params: args,
    });
    return JSON.stringify(data);
  },
}));

const agent = createReactAgent({ llm, tools: lcTools });

Copied

import { ScalekitClient } from "@scalekit-sdk/node";
import OpenAI from "openai";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const openai = new OpenAI();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["fellowaimcp"], toolNames: ["fellow_meetings_list", "fellow_meeting_get", "fellow_action_items_list"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  type: "function",
  function: {
    name: t.tool.definition.name,
    description: t.tool.definition.description,
    parameters: t.tool.definition.input_schema,
  },
}));

const resp = await openai.responses.create({
  model: "gpt-4o", input: prompt, tools: llmTools,
});

import { ScalekitClient } from "@scalekit-sdk/node";
import Anthropic from "@anthropic-ai/sdk";

const sk = new ScalekitClient(envUrl, clientId, clientSecret);
const anthropic = new Anthropic();

const { tools } = await sk.tools.listScopedTools("user_123", {
  filter: { connectionNames: ["fellowaimcp"], toolNames: ["fellow_meetings_list", "fellow_meeting_get", "fellow_action_items_list"] },
  pageSize: 100,
});

const llmTools = tools.map((t) => ({
  name: t.tool.definition.name,
  description: t.tool.definition.description,
  input_schema: t.tool.definition.input_schema,
}));

const msg = await anthropic.messages.create({
  model: "claude-sonnet-4-6", max_tokens: 1024,
  tools: llmTools,
  messages: [{ role: "user", content: prompt }],
});

Copied

import { Agent } from "@google/adk/agents";
import {
  MCPToolset, StreamableHTTPConnectionParams,
} from "@google/adk/tools/mcp";

const toolset = new MCPToolset({
  connectionParams: new StreamableHTTPConnectionParams({
    url: "https://mcp.scalekit.com/fellowaimcp",
    headers: { Authorization: `Bearer ${userScopedToken}` },
  }),
});

const agent = new Agent({
  name: "agent", model: "gemini-2.0-flash",
  tools: await toolset.getTools(),
});

Try these prompts

Paste any prompt into your agent to start using FellowAI MCP.

Search & recall

Copy the prompt

Copied

List all meetings this week.

Copy the prompt

Copied

Get the agenda for [meeting name].

Copy the prompt

Copied

Find action items assigned to me.

Copy the prompt

Copied

What meetings do I have with [person] this month?

Action & creation

Copy the prompt

Copied

Create an action item in [meeting]: [description], due [date].

Copy the prompt

Copied

Mark action item [id] as done.

Copy the prompt

Copied

Add a note to [meeting]: [text].

Copy the prompt

Copied

Update goal [name] progress to [percent]%.

Reporting & follow-up

Copy the prompt

Copied

Which action items are overdue?

Copy the prompt

Copied

List all open action items for [team].

Copy the prompt

Copied

Summarize decisions from last week's meetings.

Copy the prompt

Copied

What goals are at risk this quarter?

SEE HOW AUTH WORKS

Users authorize FellowAI MCP once. Their credentials stay vaulted, every call is checked, and every action is logged.

1

Authorize

Your user connects

FellowAI MCP

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

2

Store

Their

FellowAI MCP

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

3

Resolve

When your agent calls a

FellowAI MCP

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

4

Audit

Every

FellowAI MCP

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

Same per-user auth pattern across other meeting management agents and MCP connectors. Working code, live demos, fork what fits.

ENGINEERING

Engineering standup agent

Aggregate GitHub and GitLab activity, link to Jira, and post a daily standup digest to Slack. No async updates.

OPS

Email-to-calendar scheduling agent

Parse scheduling intent from Gmail threads and create Google Calendar events with the right attendees and timezone.

Gmail

Google Calendar

View agent

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought. Scalekit starts with user identity, scope enforcement, and audit.

01.

Shared tokens break per-user analytics

A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential so attribution, audit, and scope stay accurate.

// shared token
 audit → bot_service_account
 user_filter → broken

 // scalekit
 audit → user_abc
 scope → enforced ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

FellowAI MCP today. Others tomorrow.

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

FAQs

Frequently Asked Questions

Does the agent access FellowAI MCP as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the FellowAI MCP api key stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in FellowAI MCP?
Yes. Pass a tool name filter to listScopedTools so the meeting management agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches FellowAI MCP.

What happens when a user revokes FellowAI MCP access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Can the agent see meeting notes from colleagues?
Only notes the authorizing user has permission to view. FellowAI respects meeting privacy settings and role-based access. Private notes from other users are not returned.

FellowAI MCP

Tools your meeting management agent reaches for on FellowAI MCP, scoped per user.