ICP Intelligence MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| icp_deep_diveC | Analyze customer data to detect ICP patterns - firmographics, technographics, buying behavior |
| icp_scoring_modelB | Create qualification scoring model with auto-weighted criteria based on your success patterns |
| buyer_group_analyzerC | Map buyer group dynamics, influence relationships, and decision-making process |
| tam_sam_som_calculatorB | Calculate TAM/SAM/SOM using bottom-up methodology from your data (calculation framework, not data source) |
| lookalike_signal_generatorA | Generate platform-specific targeting criteria and search queries (generates criteria, not data) |
| account_prioritizationC | Rank and prioritize accounts using multi-dimensional scoring |
| icp_gap_analysisC | Analyze gaps between current customer base and ideal ICP |
| icp_evolution_trackerB | Track how your ICP should evolve based on market changes and data |
| icp_interview_synthesizerB | Extract ICP patterns from customer interview notes or transcripts |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 9 tools
Each tool targets a distinct ICP task—detection, scoring, buyer mapping, TAM/SAM/SOM, lookalike targeting, prioritization, gap analysis, evolution, and interview synthesis. The only mild ambiguity is between icp_deep_dive, icp_gap_analysis, and icp_interview_synthesizer, but their data sources and outputs are described differently enough.
All tool names are lowercase snake_case and mostly follow a descriptive 'domain_topic_action' noun-phrase convention. However, some names use the icp_ prefix while others lead with the object (buyer_group_analyzer, account_prioritization), and there is no consistent verb-object pattern.
Nine tools is an appropriate scope for an ICP intelligence server; each tool covers a meaningful step without redundancy. It sits comfortably in the well-scoped range.
The set covers the full ICP workflow: pattern discovery, scoring, buyer dynamics, market sizing, targeting, prioritization, gap analysis, evolution, and interview synthesis. No obvious dead ends or required missing operations are apparent for an analysis-focused ICP tool.