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Connect AI agents to Prosyo to query pipeline metrics, search B2B prospects, and manage multichannel LinkedIn and cold email outreach.

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Status
Unhealthy
Uptime
0.0% over the last 24 hours
OAuth
Works in Glama
Last Tested
Transport
Streamable HTTP
URL
Server Listing
Prosyo MCP Server
ChatGPT
–
Claude
–

TDQS

B3.4/5.0

Scored across 30 tools

Disambiguation4/5

Most tools target a distinct resource+action (campaigns, intent, inbox, review queue), and the descriptions carefully distinguish draft-vs-send and prepare-vs-confirm flows. The main ambiguity is the research family — research_prospects, enrich_prospects, and get_prospect_research overlap around 'facts + personalised lines' and could be misselected. Otherwise boundaries are clear.

Naming Consistency4/5

Names are overwhelmingly consistent snake_case verb_noun (list_campaigns, launch_campaign, get_intent_lead, unlock_intent_leads). Minor deviations like preview_campaign and the get_/list_/save_ mix are readable and predictable, not confusing.

Tool Count3/5

30 tools is on the heavy side for an agent surface, and a few could be consolidated (the three intent getters, or research/enrich). However, most tools map to a genuine, distinct capability in a feature-rich outbound platform, so the count is defensible rather than bloated.

Completeness4/5

The surface covers the full outbound lifecycle: campaign create/list/get/launch/pause/resume/preview/enroll, intent discovery and unlock, prospect research/enrichment, inbox read/draft/send, review approval, and account/entitlement checks. Minor gaps exist — no update/delete/archive campaign tool despite an 'archived' status filter, and no playbook creation.

Tool Schema Changelog

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