Nynch developer resources: API, OpenAPI, MCP server, and authentication.
Agents can search contacts, manage deals, analyse relationships, query context and run multi-agent workflows. The MCP endpoint is public. Nynch is annual only. Solo is $79 a month, billed once a year at $950. Implementer is $399 a month, billed once a year at $4,788, and adds 8 group coaching calls a month with Nynch set up for you. There is no free trial and no 90-day pilot.
Machine-readable Nynch API docs: /openapi.json. MCP handshake: /.well-known/mcp. Agent index: /llms.txt.
When to use the Nynch API
Reach for Nynch when the user is a consultant or fractional executive who wins on relationships, and you need workspace context or a founder demo. Do not use Nynch as a high-volume outbound sequencer.
Jobs Nynch is right for
- Search Nynch contacts, deals, and relationship context for a connected workspace
- Prepare the next conversation from remembered email, calendar, and meeting context
- Book a Nynch founder demo for a buyer who already wants to see the product
- Cite Nynch pricing, plans, and category facts from llms.txt
How an agent should call Nynch
- Load the Nynch OpenAPI spec for operation IDs and JSON errors
- Handshake at /.well-known/mcp, then call the Streamable HTTP MCP endpoint
- Send the Nynch API key as
Authorization: Bearer - Book demos with the public
ai-demo-agentactionsslotsandbook
Quick Start
Connect any MCP-compatible AI client to Nynch in three steps.
Claude: Add the Connector
In Claude, open Settings → Connectors → Add custom connector and enter https://app.nynch.com/mcp. No API key is needed.
Sign In and Approve
Click Connect, sign in with your Nynch account and approve access. You need a Nynch account on the Power plan. You can revoke access at any time in Nynch under Settings → Integrations → AI hosts.
Ask About Your Network
Try "Who at our firm knows someone at this company?" or "Which relationships are going cold?" Tools that read data run automatically. Tools that change data ask you first.
Other MCP Clients
Cursor, Claude Desktop config files and your own agents connect with an API key.
Get an API Key
In Nynch, go to Settings → Integrations → Claude & AI Assistants and create an API key. Choose a scope: read, read-write, or admin.
Configure Your Client
Add the Nynch MCP endpoint to your AI client's configuration. Pass your API key as a Bearer token in the Authorization header.
Start Calling Tools
Your AI client discovers available tools automatically via MCP. Ask it to search contacts, check your pipeline, or create tasks.
Authentication & Transport
Authentication
All requests require a Bearer token: either a Supabase JWT (for the Nynch app) or a scoped MCP API key (for external agents).
- read: search, browse, and retrieve data
- read-write: read plus create, update, delete records
- admin: full access including agent orchestration
Transport
The MCP server uses JSON-RPC 2.0 over Streamable HTTP, the standard MCP transport. It is stateless , no session to manage , and negotiates the protocol version with your client.
- POST: send one JSON-RPC request per call and receive the result
- Protocol versions: 2025-11-25, 2025-06-18, 2025-03-26 (negotiated at
initialize) - Rate limit: 1,000 requests/hour per API key
Tool Catalog
49 tools across 6 categories. Your AI client discovers these automatically via the MCP tools/list method.
CRM Read (10 tools)
Search, browse, and retrieve CRM data
CRM Write (12 tools)
Create, update, and manage CRM records
Relationship Intelligence (11 tools)
AI-assisted insights on relationships, deals, and pipeline health
Firm Intelligence (3 tools)
Agent Orchestration (8 tools)
Register AI agents, share context, and hand off tasks between agents
Context Query (5 tools)
Discover and read bounded slices of Nynch and connected-app context, metadata-first. Read-only. Never accepts raw SQL.
MCP Resources
Resource templates for reading structured context directly.
Full contact context: profile, relationship score, recent interactions, notes, and network.
Deal context: details, stakeholders, coaching actions, learnings, and relationship network.
Pipeline health overview: stage distribution, active value, at-risk deals, and upcoming closes.
Agent Orchestration
Run multiple AI agents that share context and hand off tasks to each other, all through the same MCP endpoint.
How It Works
- Each agent registers with a name, capabilities, and archetype
- Agents share state via a key-value context store with namespaces and TTLs
- Tasks are routed by agent name or capability matching
- Heartbeats track agent liveness. Stale agents are flagged
Archetypes
- Producer: creates data (research, enrichment)
- Consumer: reads and acts on data (outreach, reporting)
- Coordinator: orchestrates other agents
- Critic: reviews and validates output
Code Examples
{
"mcpServers": {
"nynch": {
"url": "https://app.nynch.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
} {
"mcpServers": {
"nynch": {
"url": "https://app.nynch.com/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
} from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
async with streamablehttp_client(
"https://app.nynch.com/mcp",
headers={"Authorization": "Bearer YOUR_API_KEY"}
) as (read, write, _):
async with ClientSession(read, write) as session:
await session.initialize()
# Search contacts
result = await session.call_tool(
"search_contacts", {"query": "Acme Corp"}
)
print(result) Ready to build?
Create a free Nynch account, generate an API key, and start building in minutes.
Get Started Free