Feathery MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Feathery MCP or direct API to submit forms, fetch responses, update workflow data, and trigger custom automations through natural language.

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Feathery is an AI-powered platform for building dynamic data intake forms with advanced logic. It helps teams automate complex workflows and collect structured data with ease.

19 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
Feathery
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TOOLS

Supported Tools

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

Edit Feathery Account

Tool to edit an existing account’s role and permissions.

Get Account Info

Tool to get your Feathery team name and list of accounts.

Fill or sign document template

Tool to fill or sign a Feathery document template.

List Document Envelopes

Tool to list generated document envelopes by document or user ID.

Create hidden field

Creates a new hidden field in the Feathery account.

Delete Form

Permanently delete a form from your Feathery account.

Get form schema

Retrieve the complete schema of a Feathery form including all steps, fields, rules, and translations.

List Forms

Tool to list all forms in your Feathery account.

List Hidden Fields

Tool to list all hidden form fields in the account.

List API Connector Errors

Tool to list recent API connector error logs for a form.

List Email Issues

Tool to list email bounce and complaint events.

List Email Logs

Tool to list recently sent emails for a form.

List Quik Request Logs

Tool to list recent Quik integration request logs for a form.

Create or Fetch User

Tool to create a new user or fetch an existing one.

Delete User

Tool to delete a specific user by ID.

Get All User Data

Retrieve all stored data fields for a user or all field definitions in your Feathery account.

Get User Session

Tool to get a user's form session and progress.

List Users

Tool to list all users in your Feathery account.

Generate Workspace Login Token

Generate a login JWT for a Feathery workspace.

SETUP GUIDE

Connect Feathery 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: ["feathery"],
  mcp: true,
});
Create a session scoped to Feathery 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: "List all forms created this month",
  stopWhen: stepCountIs(10),
});

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

Connect Feathery 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: ["feathery"] });
const tools = await session.tools();
Initialize Composio with the OpenAI Responses provider and create a session scoped to Feathery
3

Run Feathery tools with your agent

typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List all forms created this month" }],
});

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 Feathery tool calls through the session, and print the final answer

Why Use Composio?

AI Native Feathery Integration

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

Managed Auth

  • Built-in OAuth handling with automatic token refresh and rotation
  • Central place to manage, scope, and revoke Feathery 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 Feathery
  • Scoped, least privilege access to Feathery resources
  • Full audit trail of agent actions to support review and compliance
FAQ

Frequently asked questions

Yes, Feathery requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you.

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

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

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

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