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nynch-mcp-server

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MCP server for Nynch. 42 tools for CRM, relationship intelligence, and multi-agent orchestration.

0 starsOthers Updated Aug 21, 2026
ai-agentscrmmcpmcp-servermodel-context-protocolrelationship-intelligenceanthropicclaudesupabase

Documentation

Nynch MCP Server

A hosted Model Context Protocol server that gives AI agents full access to Nynch — a relationship-led growth platform for consultants and professional services firms.

47 tools across 5 categories: CRM read, CRM write, relationship intelligence, context query, and multi-agent orchestration.

Endpoint

code
https://crcrwtjzqzinfzokianr.supabase.co/functions/v1/mcp-server

Transport: JSON-RPC 2.0 over Streamable HTTP. The server is stateless (no session to manage) and negotiates the protocol version with your client — it speaks `2025-11-25`, `2025-06-18`, and `2025-03-26`.

Quick Start

1. Get an API Key

Sign up at nynch.com, then go to Settings → Integrations → Claude & AI Assistants and create an API key.

Scopes:

  • `read` — Search, browse, and retrieve data
  • `read-write` — Read + create, update, delete records
  • `admin` — Full access including agent orchestration

2. Configure Your Client

Claude Desktop

Add to `claude_desktop_config.json`:

json
{
  "mcpServers": {
    "nynch": {
      "url": "https://crcrwtjzqzinfzokianr.supabase.co/functions/v1/mcp-server",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Cursor

Add to `.cursor/mcp.json`:

json
{
  "mcpServers": {
    "nynch": {
      "url": "https://crcrwtjzqzinfzokianr.supabase.co/functions/v1/mcp-server",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}

Python (MCP SDK)

python
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()
        result = await session.call_tool("search_contacts", {"query": "Acme Corp"})
        print(result)

3. Start Using Tools

Your AI client discovers available tools automatically. Ask it to search contacts, check your pipeline, create tasks, or analyze relationships.

Tool Catalog

CRM Read (11 tools)

ToolDescription
`search_contacts`Search contacts by name, company, or tags
`get_contact_context`Full contact context: profile, interactions, activities, notes, network
`search_deals`Search deals by title, stage, or company
`get_deal_context`Full deal context: stakeholders, learnings, coaching actions
`search_deals_by_inactivity`Find stalled deals with no recent activity
`get_pipeline_summary`Pipeline health: stage distribution, at-risk deals, upcoming closes
`get_next_best_actions`AI-powered recommendations for what to do next
`get_who_list`People to reach now, including identified site visitors. Never mention a specific page in outreach
`list_buckets`List all buckets (lists/segments)
`get_bucket_contacts`Get contacts in a specific bucket
`get_bucket_game_queue`Get contacts waiting to be sorted into buckets

CRM Write (12 tools)

ToolDescription
`log_interaction`Record a contact interaction (call, email, meeting, note)
`update_deal_stage`Move a deal to a new pipeline stage
`create_task`Create a task linked to a contact or deal
`create_note`Add a note to a contact (supports markdown)
`create_contact`Create a new contact (auto-links to company by domain)
`update_contact`Update fields on an existing contact
`add_contact_to_bucket`Add a contact to a bucket
`create_deal`Create a new deal in the pipeline
`create_company`Create a new company
`delete_contact`Soft-delete a contact (recoverable)
`bulk_delete_contacts`Soft-delete contacts by tag or ID list
`update_commitment`Mark a commitment as completed or update details

Relationship Intelligence (11 tools)

ToolDescription
`get_authority_score`Authority score across 6 dimensions
`get_commitments`Commitments with Say/Do tracking and due dates
`get_buying_committee`Stakeholder map: roles, influence, sentiment
`get_contact_signals`Job changes, company changes, buying intent, identified website visits (no page paths)
`get_interaction_history`Full interaction timeline with direction and sentiment
`get_relationship_score`5-factor relationship strength score
`export_context_briefing`AI-ready context briefing for any contact or deal
`get_relationship_trends`Is engagement growing, stable, or declining?
`get_at_risk_relationships`Contacts with dropping scores or no recent contact
`get_deal_intelligence`Deal health: velocity, stakeholder coverage, risk factors
`get_weekly_briefing`Weekly summary: interactions, changes, recommendations

Agent Orchestration (8 tools)

ToolDescription
`register_agent`Register an external agent with capabilities and archetype
`list_agents`List registered agents with status
`agent_heartbeat`Confirm agent liveness
`write_context`Write to the shared agent context store
`read_context`Read from context store (supports prefix wildcards)
`create_handoff`Request another agent to perform a task
`get_handoffs`Get pending handoffs for your agent
`complete_handoff`Mark a handoff as completed or failed

Context Query (5 tools)

Discover and read bounded slices of Nynch and connected-app context, metadata-first. Read-only — never accepts raw SQL.

ToolDescription
`list_context_sources`List safe read-only context sources available to you
`search_context_sources`Search context sources by natural-language keyword (metadata only)
`describe_context_source`Describe one source: purpose, columns, filters, limits, availability
`list_context_columns`List selectable columns and allowed filters for one source
`query_context`Read a bounded slice from one source via a constrained query object

MCP Resources

URI TemplateDescription
`nynch://contacts/{id}`Full contact context: profile, score, interactions, network
`nynch://deals/{id}`Deal context: details, stakeholders, coaching actions
`nynch://pipeline/summary`Pipeline health overview

Agent Orchestration

Nynch supports multi-agent workflows where AI agents register, share context, and hand off tasks:

  • Register with a name, capabilities, and archetype (producer, consumer, coordinator, critic)
  • Share state via a key-value context store with namespaces and TTLs
  • Route tasks by agent name or capability matching
  • Track liveness with heartbeats

Rate Limits

  • 1,000 requests per hour per API key

Documentation

Full developer documentation: nynch.com/developers

About Nynch

Nynch is a relationship-led growth platform that helps consultants and professional services firms turn relationships into revenue. It combines CRM, relationship intelligence, and AI-powered coaching into a single platform.

License

This repository (documentation and configuration) is released under the MIT License. The Nynch MCP Server itself is a hosted service — no local installation required.

Frequently asked questions

What is nynch-mcp-server?

nynch-mcp-server is MCP server for Nynch. 42 tools for CRM, relationship intelligence, and multi-agent orchestration.

How do I install nynch-mcp-server?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is nynch-mcp-server open source?

Yes — it is hosted on GitHub at https://github.com/peterod99/nynch-mcp-server.

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