io.github.shashwatgtm/icp-intelligence-mcp
NPM · @SHASHWATGTMALPHA/ICP-INTELLIGENCE-MCP · SCANNED SEP 22
Deep ICP Analysis with Pattern Detection - 9 B2B targeting tools
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security80
- No malware found by supply-chain analysis.Pass
- CVE check failed: a known high-severity CVE affects @modelcontextprotocol/sdk 0.6.1, a direct dependency. A fixed version is available. View diagnostics → Fail
- No install/post-install scripts declared.Pass
- 7 of 14 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency44
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 247 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability75
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 807 tokens (~89/item across 9 items; 9 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management97
- Stability observed for 29 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage99
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 97% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
How do I install the io.github.shashwatgtm/icp-intelligence-mcp server?
io.github.shashwatgtm/icp-intelligence-mcp runs locally as an npm package, launched with npx -y @shashwatgtmalpha/icp-intelligence-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @shashwatgtmalpha/icp-intelligence-mcp
claude mcp add shashwatgtm-icp-intelligence-mcp -- npx -y @shashwatgtmalpha/icp-intelligence-mcp
{
"mcpServers": {
"shashwatgtm-icp-intelligence-mcp": {
"command": "npx",
"args": [
"-y",
"@shashwatgtmalpha/icp-intelligence-mcp"
]
}
}
} {
"servers": {
"shashwatgtm-icp-intelligence-mcp": {
"command": "npx",
"args": [
"-y",
"@shashwatgtmalpha/icp-intelligence-mcp"
]
}
}
} codex mcp add shashwatgtm-icp-intelligence-mcp -- npx -y @shashwatgtmalpha/icp-intelligence-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"shashwatgtm-icp-intelligence-mcp": {
"type": "local",
"command": [
"npx",
"-y",
"@shashwatgtmalpha/icp-intelligence-mcp"
],
"enabled": true
}
}
} openclaw mcp add shashwatgtm-icp-intelligence-mcp --command npx --arg -y --arg @shashwatgtmalpha/icp-intelligence-mcp
mcp_servers:
shashwatgtm-icp-intelligence-mcp:
command: "npx"
args: ["-y", "@shashwatgtmalpha/icp-intelligence-mcp"] {
"McpServers": {
"shashwatgtm-icp-intelligence-mcp": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"@shashwatgtmalpha/icp-intelligence-mcp"
]
}
}
} assistant mcp add shashwatgtm-icp-intelligence-mcp -t stdio -c npx -a -y @shashwatgtmalpha/icp-intelligence-mcp
{
"mcpServers": {
"shashwatgtm-icp-intelligence-mcp": {
"command": "npx",
"args": [
"-y",
"@shashwatgtmalpha/icp-intelligence-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 22 Sept 26 +1
- Security disclosure: unverified → fail ▼ functional
- 21 Sept 26 0
- Security disclosure: fail → unverified ▼ functional
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 −3
- Stability: pass → 0.80 functional
- 16 Sept 26 0
- Stability: 0.97 → pass security
- 15 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Sept 26 +1
- Security disclosure: unverified → fail ▼ functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 22 Sept 2026 · Analysed npm/@shashwatgtmalpha/icp-intelligence-mcp@1.0.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Vulnerabilities 1 finding
| ID | CVE | Severity | Vector | Fix available |
|---|---|---|---|---|
| GHSA-w48q-cv73-mx4w | CVE-2025-66414 | high | yes |
Background: What a vulnerability scan can and cannot prove →
Dependencies 14 packages
| Packages resolved | 14 |
|---|---|
| Stale | 7 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
account_prioritization ~48
Rank and prioritize accounts using multi-dimensional scoring
| Name | Type | Req | Description |
|---|---|---|---|
| accounts | array | – | List of accounts to prioritize |
| prioritization_weights | object | – | Custom weights (must sum to 100) |
No output schema declared.
No examples provided.
buyer_group_analyzer ~104
Map buyer group dynamics, influence relationships, and decision-making process
| Name | Type | Req | Description |
|---|---|---|---|
| deal_size | string | – | ACV range (e.g., "$50K-100K") |
| known_stakeholders | array | – | Roles you know are involved |
| product_category | string | yes | What you sell |
| target_company_size | string | – | Company size (e.g., "500-1000 employees") |
| typical_champion | string | – | Your typical champion role |
No output schema declared.
No examples provided.
icp_deep_dive ~75
Analyze customer data to detect ICP patterns - firmographics, technographics, buying behavior
| Name | Type | Req | Description |
|---|---|---|---|
| customer_descriptions | string | – | Alternative: Describe your best customers in text format |
| customers | array | – | List of customer objects with available attributes |
| product_category | string | – | What type of product you sell |
No output schema declared.
No examples provided.
icp_evolution_tracker ~99
Track how your ICP should evolve based on market changes and data
| Name | Type | Req | Description |
|---|---|---|---|
| current_icp | string | yes | Your current ICP definition |
| market_changes | string | – | Recent market or competitive changes |
| recent_losses | string | – | Description of recent lost deals |
| recent_wins | string | – | Description of recent successful customers |
| time_period | string | – | Time period for analysis (e.g., "Q4 2024") |
No output schema declared.
No examples provided.
icp_gap_analysis ~72
Analyze gaps between current customer base and ideal ICP
| Name | Type | Req | Description |
|---|---|---|---|
| current_customers | string | yes | Description of your current customer base |
| current_metrics | object | – | Current performance metrics |
| ideal_icp | string | yes | Description of your ideal customer profile |
| target_metrics | object | – | Target performance metrics |
No output schema declared.
No examples provided.
icp_interview_synthesizer ~76
Extract ICP patterns from customer interview notes or transcripts
| Name | Type | Req | Description |
|---|---|---|---|
| analysis_focus | string | – | What to focus on: pain_points, buying_journey, value_props, all |
| interview_notes | array | – | Structured interview notes |
| raw_transcripts | string | – | Alternative: Paste raw interview transcripts or notes |
No output schema declared.
No examples provided.
icp_scoring_model ~80
Create qualification scoring model with auto-weighted criteria based on your success patterns
| Name | Type | Req | Description |
|---|---|---|---|
| product_category | string | – | – |
| scoring_criteria | array | – | Criteria for scoring with importance levels |
| success_correlation | string | – | What correlates with success? (e.g., "deals with VP Sales champion close 2x faster") |
No output schema declared.
No examples provided.
lookalike_signal_generator ~107
Generate platform-specific targeting criteria and search queries (generates criteria, not data)
| Name | Type | Req | Description |
|---|---|---|---|
| buying_triggers | array | – | Events that trigger buying |
| champion_titles | array | yes | Job titles of your champions |
| icp_firmographics | object | – | Firmographic criteria |
| icp_technographics | array | – | Technologies your ICP typically uses |
| platforms | array | – | Platforms to generate criteria for (linkedin, google_ads, 6sense, zoominfo) |
No output schema declared.
No examples provided.
tam_sam_som_calculator ~146
Calculate TAM/SAM/SOM using bottom-up methodology from your data (calculation framework, not data source)
| Name | Type | Req | Description |
|---|---|---|---|
| average_contract_value | number | yes | Your average ACV in dollars |
| data_sources | string | – | Where you got your numbers (for documentation) |
| icp_percentage | number | – | Percentage that match your ICP (1-100) |
| segment_name | string | – | Name of the market segment |
| total_potential_companies | number | yes | Estimated total companies that could buy (from LinkedIn, industry reports) |
| year1_market_share_target | number | – | Realistic Year 1 market share percentage (typically 1-5%) |
No output schema declared.
No examples provided.
What is the io.github.shashwatgtm/icp-intelligence-mcp server?
io.github.shashwatgtm/icp-intelligence-mcp is listed in the public MCP registry as io.github.shashwatgtm/icp-intelligence-mcp. Deep ICP Analysis with Pattern Detection - 9 B2B targeting tools. This page covers its npm package (@shashwatgtmalpha/icp-intelligence-mcp).
Is the io.github.shashwatgtm/icp-intelligence-mcp server safe to use?
io.github.shashwatgtm/icp-intelligence-mcp scores 75 out of 100 on VerifyMCP. We recorded 1 known advisory against it as of 22 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.shashwatgtm/icp-intelligence-mcp server expose?
io.github.shashwatgtm/icp-intelligence-mcp exposes 9 tools: icp_deep_dive, icp_scoring_model, buyer_group_analyzer, tam_sam_som_calculator, lookalike_signal_generator, and 4 more. Their descriptions and schemas cost roughly 807 tokens of context every time the server is loaded.
Is the io.github.shashwatgtm/icp-intelligence-mcp server still maintained?
io.github.shashwatgtm/icp-intelligence-mcp is still listed as active in the MCP registry. We last reached this channel on 22 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.shashwatgtm/icp-intelligence-mcp server under?
io.github.shashwatgtm/icp-intelligence-mcp declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.