Glen MCP server for AI agents and assistants

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Glen MCP to search organizational memory, retrieve workspace context, surface relevant knowledge, and answer questions through natural language.

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Dcr Oauth

Glen MCP is an organizational memory service that gives teams access to shared knowledge and context. It helps users find trusted workspace information without digging through scattered sources.

22 Tools

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Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
Glen MCP
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TOOLS

Supported Tools

Every Glen MCP action and event your agent gets out of the box.

Glen artifact create

Save a document (Markdown or HTML+CSS, no JavaScript) to the org's artifact library.

Glen artifact delete

Permanently delete an artifact you authored, by its exact slug.

Glen artifact get

Fetch a saved artifact (document) from the org's artifact library by its exact slug.

Glen artifact search

Find a saved document in the org's artifact library by intent or keywords.

Glen artifact share

Share an artifact you authored: add teammates by email and/or set org:true to make it visible to the whole org (org:false turns whole-org visibility off).

Glen code search

Trace specific lines of code back to the agent conversations that produced them.

Glen dependency search

Search the org's existing dependencies (tools/runtimes a skill needs) before creating a new one, so you reuse a match instead of duplicating.

Glen feedback

Send a bug report (kind:"bug") or product feedback (kind:"feedback") about glen itself to the Glen team.

Glen forget

Exclude one or more verified wrong, stale, or irrelevant evidence items from future Glen recall.

Glen import

Import one turn of a past coding-agent conversation into the org's shared memory.

Glen invite

Invite one or more teammates by email to the active organization so they share its memory.

Glen list orgs

List the organizations the user belongs to; active:true marks the one this connection reads and writes.

Glen restore

Restore one or more previously forgotten Glen evidence references.

Glen search

Search the organization's shared memory for a query.

Glen set recording

Set the user's glen mode, account-wide on every machine and agent: on (recall and record), off (recall nothing, record nothing), incognito (off the record: keep recalling, record nothing to team memory), silent (keep recording, surface nothing).

Glen set suggestions

Turn glen's skill suggestions on or off for the user, account-wide: skillCreation (offers to save your work as a new team skill) and skillUse (offers existing team skills).

Glen skill create

Save a new reusable skill (a markdown prompt) to your Glen skill library.

Glen skill delete

Permanently delete a skill you authored, by its exact slug, for you and everyone it's shared with.

Glen skill search

Find a reusable skill in the org's shared library by intent and/or author.

Glen skill share

Share a skill you authored: add teammates by email and/or set org:true to make it visible to the whole org (org:false turns whole-org visibility off).

Glen skill use

Fetch a skill's instructions by its exact slug.

Glen status

Show the user's current glen settings: mode (on, off, incognito or silent) and whether skill-creation and skill-use suggestions are on.

SETUP GUIDE

Connect Glen MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
Install the Composio SDK and your agent framework
2

Create a session with MCP enabled

typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["glen_mcp"],
  mcp: true,
});
Create a session scoped to Glen MCP and read its MCP URL and headers
3

Connect your agent to the MCP server

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Search Glen for notes about the Acme onboarding project and summarize the latest context.",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
Pass the session's MCP URL and headers to your agent and run a Glen MCP request
SETUP GUIDE

Connect Glen MCP API Tool with your Agent

1

Install Composio

typescript
npm install @composio/core @composio/openai openai
Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
2

Create a Composio session

typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["glen_mcp"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Glen MCP
3

Run Glen MCP tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Search Glen for notes about the Acme onboarding project and summarize the latest context." }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
Send a request, execute the Glen MCP tool calls through the session, and print the final answer

Why Use Composio?

AI Native Glen MCP Integration

  • Supports both Glen MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable tool execution
  • Rich coverage for reading, writing, and querying your Glen MCP data

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Glen MCP access
  • Per user and per environment credentials instead of hard-coded keys

Agent Optimized Design

  • Tools are tuned using real error and success rates to improve reliability over time
  • Comprehensive execution logs so you always know what ran, when, and on whose behalf

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Glen MCP
  • Scoped, least privilege access to Glen MCP resources
  • Full audit trail of agent actions to support review and compliance
FRAMEWORKS

Use Glen MCP with any AI Agent Framework

Choose a Framework you want to connect Glen MCP with

Rolling this out across your team?

Give your team centralized access control across every framework with Composio’s MCP Gateway.

EXPLORE MCP GATEWAY
FAQ

Frequently asked questions

Yes, Glen MCP requires you to configure your own Dcr Oauth credentials. Once set up, Composio handles secure credential storage and management for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Yes. Composio is SOC 2 Type II compliant and is built to keep your Glen connection and credentials secure. OAuth tokens and API keys are encrypted, and sensitive customer data is protected at rest and in transit.

Composio also undergoes independent security testing and continuously monitors its systems for security threats. You can review the latest reports and policies in the Composio Trust Center.

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

When you connect a Glen account through Composio, every action runs under that account, so anything the agent creates, sends, or changes shows up in Glen as done by you. Keep an approval step in your prompt for actions with side effects, such as sending or deleting, and have the agent draft first.

Whatever the credentials you connect allow inside Glen. If Glen lets you scope a key to specific permissions, create a scoped one so the agent can only do what you intend. You can revoke the key inside Glen at any time.

Yes. Composio supports multiple connected accounts for the same app, and that works in Claude, ChatGPT, or any other assistant you connect through Composio. Give each Glen connection a name such as work or personal, and the assistant uses the one you mention in the request. Each account keeps its own credentials and nothing is merged.

Composio's free Hobby plan includes 100,000 tool calls per month with no credit card, which covers most personal Glen use. Paid plans add higher limits and team features. Your Glen plan and its API limits still apply as usual.

Built-in connectors usually give one AI access to a limited set of apps. Many people use Composio because it lets their AI connect to more apps than it normally supports, or connect to multiple accounts for the same app (e.g. connect Claude to multiple Glen accounts).

With Composio, you connect Glen once and then use it across different AI assistants without setting it up separately in each one. Connect your apps to Composio once, then connect Composio to whichever AI you use, whether that's Claude, ChatGPT, Hermes, or your own custom assistant.

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