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. Pro is $199 a month, billed annually. Team is by application. Founder Member is £3,700 paid in full or £1,450 a month for three months. 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.
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
46 tools across 5 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
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://crcrwtjzqzinfzokianr.supabase.co/functions/v1/mcp-server",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
} {
"mcpServers": {
"nynch": {
"url": "https://crcrwtjzqzinfzokianr.supabase.co/functions/v1/mcp-server",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
} from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
async with streamablehttp_client(
"https://crcrwtjzqzinfzokianr.supabase.co/functions/v1/mcp-server",
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?
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