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Model Context Protocol

Your agent's
go-to-market context
layer

Give AI agents real-time access to your pipeline, deals, forecasts, and team — structured and ready to reason over.

MCP endpoint
https://api.pacehq.ai/mcp-server/
OAuth 2.1 · Compatible with any MCP client
↗ Read the docs ↗ API reference ↗ View on GitHub
Structured output

Built for agents.
Readable by humans.

Pace doesn't just expose your CRM — it returns AI-generated signals your agent can act on: win probability, momentum, engagement, risks, and next steps.

pace.get_deal_assessment JSON
$ pace.get_deal_assessment opp_7kR3p { "id": "opp_7kR3p", "account": "Acme Corp", "stage": "Negotiation", "amount": 48000, "close_date": "2026-04-30", "win_probability": 0.45, "momentum": "POSITIVE", "engagement_level": "HIGH", "risks": [ { "severity": "HIGH", "description": "Legal has not returned redlines" } ], "next_step": "Escalate to buyer's legal counsel" }
~120 tokens
MCP Tools

Built-in tools for your pipeline.

Pipeline, forecasting, conversation intelligence, and deal context — your agent can reason across your entire revenue motion.

A
get_deal_assessment
AI health assessment with risks, engagement, and momentum
F
get_forecast_evaluation
Win probability, in-quarter likelihood, and suggested forecast category
S
get_forecast_stats
Commit, best case, and pipeline rollups by user, team, or org
L
list_open_opportunities
Filtered pipeline views with AI-derived signals
Q
search_opportunities
Fuzzy search across deals and accounts
O
get_opportunity_details
Full deal info with custom fields and assessment history
A
get_deal_assessment
AI health assessment with risks, engagement, and momentum
F
get_forecast_evaluation
Win probability, in-quarter likelihood, and suggested forecast category
S
get_forecast_stats
Commit, best case, and pipeline rollups by user, team, or org
L
list_open_opportunities
Filtered pipeline views with AI-derived signals
Q
search_opportunities
Fuzzy search across deals and accounts
O
get_opportunity_details
Full deal info with custom fields and assessment history
C
get_call_recordings
Call summaries, key moments, and sentiment
E
search_emails
Semantic email search across the org
N
get_account_with_contacts
Account context with associated contacts
T
get_open_todos_for_opportunities
Open action items on any deal
+
+ more
20+ tools live today. See the full catalog →
C
get_call_recordings
Call summaries, key moments, and sentiment
E
search_emails
Semantic email search across the org
N
get_account_with_contacts
Account context with associated contacts
T
get_open_todos_for_opportunities
Open action items on any deal
+
+ more
20+ tools live today. See the full catalog →
Why Pace MCP

Purpose-built for go-to-market context.

Real-time data
Every tool call fetches live data from your CRM and Pace — no stale snapshots, no sync delays.
Structured responses
Consistent JSON schemas across every tool — predictable, parseable, and low-token by design.
Write-back support
Agents can update CRM fields and advance deal stages — not just read data.
Permission-aware
Inherits your CRM's roles and permissions. Agents only see what the authenticated user is allowed to see.
Works with any agent
Standard MCP protocol. Compatible with Claude, ChatGPT, Cursor, and any MCP-capable client.
Token-efficient
Compact payloads by default. Agents burn less context per task — more room for reasoning.
Integrations

Connects to your existing stack.

Pace bridges your AI agent to the systems your team already uses — no new infrastructure required.

Sources
Salesforce Live
HubSpot Live
Gong Live
Fathom Live
Destinations
Slack Live
Claude, ChatGPT, Cursor & any MCP client Live
Coming soon
Outreach Coming soon
Architecture
Sources
Agents
SFSalesforce
HSHubSpot
GoGong
FaFathom
ClClaude
ChChatGPT
CuCursor
SlSlack
Pace
Context layer
Get started

Your agent is ready.
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