4,000+ servers built on MCP Fusion
Vinkius
LangChainFramework
Why use BunnyDoc MCP Server with LangChain?

Bring Esignature
to LangChain

Create your Vinkius account to connect BunnyDoc to LangChain and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Add Team MemberCreate Signature RequestGet Account InfoGet Envelope StatusGet Usage StatsList EnvelopesList Team MembersList TemplatesSubscribe WebhookUnsubscribe Webhook
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
BunnyDoc

What is the BunnyDoc MCP Server?

Connect your BunnyDoc account to any AI agent and orchestrate your eSignature workflows, document lifecycle, and team collaboration through natural conversation.

What you can do

  • Signature Requests — Trigger new document signature requests using pre-defined templates directly from your workspace.
  • Status Oversight — Monitor the real-time status of envelopes (Draft, Sent, Signed, Completed) using natural language.
  • Template Management — List all available document templates to ensure consistency in your signing workflows.
  • Team Coordination — Access your directory of team members and invite new collaborators to the platform.
  • Webhook Automation — Subscribe to lifecycle events (viewed, signed, completed) to automate your back-office response.
  • Document Auditing — Retrieve detailed metadata and audit trails for any envelope ID straight from your workspace.

How it works

  1. Subscribe to this server
  2. Enter your BunnyDoc API Key
  3. Start managing your eSignatures from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Operations & Legal Teams — quickly check if a contract is signed or send new requests without manual portal work.
  • HR Managers — monitor onboarding document completion and team access straight from their workflow tools.
  • Developers — integrate legal signing steps into their environment using natural language.

Built-in capabilities (10)

add_team_member

Invite a new member to the team

create_signature_request

Create a new signature request from a template

get_account_info

Retrieve core account information

get_envelope_status

Get status of a specific signature request (envelope)

get_usage_stats

Retrieve API usage statistics

list_envelopes

List all signature requests

list_team_members

List all members of the team

list_templates

List all available document templates

subscribe_webhook

Subscribe to signature events via webhook

unsubscribe_webhook

Remove a webhook subscription

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with BunnyDoc through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

  • The largest ecosystem of integrations, chains, and agents. combine BunnyDoc MCP tools with 500+ LangChain components

  • Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

  • LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

  • Memory and conversation persistence let agents maintain context across BunnyDoc queries for multi-turn workflows

See it in action

BunnyDoc in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run BunnyDoc with Vinkius?

The BunnyDoc connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

BunnyDoc
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect BunnyDoc using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

BunnyDoc and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect BunnyDoc to LangChain through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures BunnyDoc for LangChain

Every request between LangChain and BunnyDoc is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I check if a document has been signed using the agent?

Yes! Use the get_envelope_status tool with the Envelope ID. Your agent will fetch the current status (e.g., 'Completed' or 'Sent') directly from BunnyDoc.

02

How do I send a signature request to multiple recipients?

Simply ask the agent to create_signature_request and provide the Template ID and a JSON array of recipients. Each object should include the recipient's name and email.

03

Does the integration allow listing all available templates?

Yes. Use the list_templates tool. It will retrieve all the document templates configured in your BunnyDoc account, making it easy to find the ID you need for a new request.

04

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

05

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.

06

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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