io.github.shashwatgtm/icp-intelligence-mcp
REMOTE · ICP-INTELLIGENCE.GTMHELIX.COM · 2 COMPONENTS
ICP Intelligence: 9 ideal customer profile tools by Helix GTM Consulting
Available components
Last scanned (6 hours ago)
Scores higher than 63% of remote servers
Reachable. Last reached 17 Oct 2026.
Category CRM and Sales
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security83
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- The HSTS (Strict-Transport-Security) header is present. View diagnostics → Pass
- DNSSEC is configured correctly; the domain's records validate against the full chain to the root. View diagnostics → Pass
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability60
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1852 tokens (~205/item across 9 items; 9 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
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
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Unverified: 1 category
A category scored 0 because we could not verify it: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.
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.
- 17 Oct 26 72
First indexed and scored.
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 17 Oct 2026 · Probed https://icp-intelligence.gtmhelix.com/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=icp-intelligence.gtmhelix.com | CN=YE1,O=Let's Encrypt,C=US | 24 Sept 2026 | 23 Dec 2026 | ECDSA 256 | ECDSA-SHA384 | 5b4d23d2503c3d8558f0c27521a8f32c418 |
| SANs: icp-intelligence.gtmhelix.com | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC secure
Validation of icp-intelligence.gtmhelix.com. — Secure
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| com. | present | 19718 | 13 | Verified |
| gtmhelix.com. | present | 43960, 56023 | 13, 13 | Verified |
| icp-intelligence.gtmhelix.com. | Verified address RRset verified with the apex keys |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| strict-transport-security | max-age=31536000 |
| x-content-type-options | nosniff |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://icp-intelligence.gtmhelix.com/mcp | Verified | 200 | |
| http (plaintext) | http://icp-intelligence.gtmhelix.com/mcp | HTTPS enforced | 301 | https://icp-intelligence.gtmhelix.com/mcp |
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 Account Prioritization ~202
Rank and prioritize accounts by a weighted score of fit, intent, relationship and timing; each account shows the points its timing earned and the factor that added the most points
| Name | Type | Req | Description |
|---|---|---|---|
| accounts | array | – | List of accounts to prioritize. Each account: name, fit_score (0 to 100), intent_signals (0 to 100), relationship (0 to 100), timing (now, soon, later or unknown) |
| company | string | – | Optional: your company or product name, so the answer can name it |
| prioritization_weights | object | – | Optional custom weights in percent for fit, intent, relationship and timing. A missing weight uses its default (40, 30, 15, 15); the tool does not check that the weights sum to 100 |
| product_category | string | – | Optional: what you sell (for example "spend management software"), used for sector notes. The arithmetic does not use it |
No output schema declared.
No examples provided.
buyer_group_analyzer Buyer Group Analyzer ~216
Map the buyer group for a deal: the champion you name, your known stakeholders placed by their titles (economic buyer, technical evaluator, reviewers, users), each role's concern and message prompts, an influence map and discovery questions. Sector roles and questions are added when your inputs name one of the supported sectors
| Name | Type | Req | Description |
|---|---|---|---|
| business_model | string | – | Optional: how you charge (software subscription, services, connectivity, per transaction, marketplace, hardware plus software, or investment management). Read from your other inputs when left out |
| company | string | – | Optional: your company or product name, so the answer can name it |
| 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 ICP Deep Dive ~181
Analyze customer data to detect ICP patterns (industry, size, deal size, sales cycle, tech stack, triggers, champion roles). Ties are named as ties, the budget is the ACV range seen in your customers, and sector notes are added when your inputs name one of the supported sectors
| Name | Type | Req | Description |
|---|---|---|---|
| business_model | string | – | Optional: how you charge (software subscription, services, connectivity, per transaction, marketplace, hardware plus software, or investment management). Read from your other inputs when left out |
| company | string | – | Optional: your company or product name, so the answer can name it |
| 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 ICP Evolution Tracker ~217
Review how your ICP should evolve: reads your recent wins, losses and market changes against your current ICP, states a candidate change for each (an addition to test, a disqualifier to test, an implication to check) and writes a draft of the updated ICP, with the roles your ICP does not name, the loss reasons to tag and what to pull from your CRM. It does not compute win rates; check each candidate against your CRM
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | – | Optional: your company or product name, so the answer can name it |
| current_icp | string | yes | Your current ICP definition |
| market_changes | string | – | Recent market or competitive changes |
| product_category | string | – | Optional: what you sell, used for sector notes |
| recent_losses | string | – | Description of recent lost deals |
| recent_wins | string | – | Description of recent successful customers |
| time_period | string | – | Time period you are reviewing, in your own words (for example "last quarter") |
No output schema declared.
No examples provided.
icp_gap_analysis ICP Gap Analysis ~200
Analyze gaps between your current customer base and your ideal ICP: what the ideal profile has that the current base lacks, metric gaps from your current and target figures, causes to check and actions that fit your business model. Sector notes are added when your inputs name one of the supported sectors
| Name | Type | Req | Description |
|---|---|---|---|
| business_model | string | – | Optional: how you charge (software subscription, services, connectivity, per transaction, marketplace, hardware plus software, or investment management). Read from your other inputs when left out |
| company | string | – | Optional: your company or product name, so the answer can name it |
| 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 |
| product_category | string | – | Optional: what you sell, used for sector notes |
| target_metrics | object | – | Target performance metrics |
No output schema declared.
No examples provided.
icp_interview_synthesizer ICP Interview Synthesizer ~201
Extract ICP patterns from customer interview notes: pain points, objections, buying triggers, value realized, champion roles and quotes kept word for word, with discovery questions and sector notes. Pasted notes are shown back (shortened) with a template to structure them; only structured notes are analyzed.
| Name | Type | Req | Description |
|---|---|---|---|
| analysis_focus | string | – | Accepted but not used yet: every run gives the complete analysis (pain_points, buying_journey, value_props, all) |
| company | string | – | Optional: your company or product name, so the answer can name it |
| interview_notes | array | – | Structured interview notes |
| product_category | string | – | Optional: what you sell, used for sector notes |
| raw_transcripts | string | – | Alternative: paste interview notes or transcripts. This tool does not analyze pasted text: it shows up to 500 characters back with a template to structure them as interview_notes, which it does analy… |
No output schema declared.
No examples provided.
icp_scoring_model ICP Scoring Model ~168
Create a lead qualification scoring template: criteria with example point weights set by importance level, example points for each value you list, a scorecard and tier bands to adjust. Your success pattern is matched to your criteria; it does not set the weights. Sector notes are added when your inputs name one of the supported sectors
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | – | Optional: your company or product name, so the answer can name it |
| product_category | string | – | Optional: what you sell, as a product category, so the scoring notes use your sector |
| 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 Lookalike Signal Generator ~202
Generate platform-specific targeting criteria and search queries from your firmographics, technographics, champion titles and buying triggers (generates criteria, not data). Each trigger gets its own signal; search keywords come from what you sell and the sector; platforms limits the sections
| Name | Type | Req | Description |
|---|---|---|---|
| buying_triggers | array | – | Events that trigger buying |
| champion_titles | array | yes | Job titles of your champions |
| company | string | – | Optional: your company or product name, so the answer can name it |
| icp_firmographics | object | – | Firmographic criteria |
| icp_technographics | array | – | Technologies your ICP typically uses |
| platforms | array | – | Optional: the sections to include (linkedin, google_ads, 6sense, zoominfo). Left out, every section is included |
| product_category | string | – | Optional: what you sell (for example "spend management software"), used for search keywords and sector notes |
No output schema declared.
No examples provided.
tam_sam_som_calculator TAM SAM SOM Calculator ~265
Calculate TAM/SAM/SOM bottom-up from your company count, ACV, ICP match rate and Year 1 share (calculation framework, not a data source). Sector notes are added when your inputs name one of the supported sectors
| Name | Type | Req | Description |
|---|---|---|---|
| average_contract_value | number | yes | Your average ACV in dollars |
| company | string | – | Optional: your company or product name, so the answer can name it |
| data_sources | string | – | Where you got your numbers (for documentation) |
| icp_percentage | number | – | Percentage of those companies that match your ICP, from 0 to 100. Left out, 30 is used and marked as an example |
| product_category | string | – | Optional: what you sell (for example "spend management software"), used for sector notes. The arithmetic does not use it |
| 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, from 0 to 100 (typically 1-5%). Left out, 3 is used and marked as an example |
No output schema declared.
No examples provided.
How do I install the io.github.shashwatgtm/icp-intelligence-mcp server?
io.github.shashwatgtm/icp-intelligence-mcp is a hosted endpoint at https://icp-intelligence.gtmhelix.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · icp-intelligence.gtmhelix.com
claude mcp add --transport http shashwatgtm-icp-intelligence-mcp 'https://icp-intelligence.gtmhelix.com/mcp'
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. ICP Intelligence: 9 ideal customer profile tools by Helix GTM Consulting. This page covers its hosted endpoint (https://icp-intelligence.gtmhelix.com/mcp).
Is the io.github.shashwatgtm/icp-intelligence-mcp server safe to use?
io.github.shashwatgtm/icp-intelligence-mcp scores 72 out of 100 on VerifyMCP. 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 1,852 tokens of context every time the server is loaded.
Does the io.github.shashwatgtm/icp-intelligence-mcp server require authentication?
No. We connected to io.github.shashwatgtm/icp-intelligence-mcp without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
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 17 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.