Gia MCP Server vs MCP Server — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Gia MCP Server vs MCP Server
In-depth architectural comparison of the Gia MCP Server and MCP Server MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Gia MCP Server
Security · Local stdio
Quality: 45/100 (Fair) | Auth: No auth required
MCP Server
Security · Local stdio
Quality: 63/100 (Good) | Auth: No auth required
Verdict Summary: Choose Gia MCP Server if you need specialized Security tools running via a local process. Choose MCP Server if your workspace requires Security integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Gia MCP Server when:
You need dedicated capabilities in the Security domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Enterprise AI governance layer with 29 tools: MAI decision classification (Mandatory/Advisory/Informational), hash-chained forensic audit trails, human-in-the-loop gates, compliance mapping (NIST AI RMF, EU AI Act, ISO 42001), governed memory packs, and site reliability tools.
55 tools for verified public data lookups — CVE/SBOM security audits, licence compliance, patents, federal contracts, NPI provider lookups, nonprofit 990 filings, and domain intelligence. No API key required.
Category & Scope
Tools & Capabilities Breakdown
Gia MCP Server Tools (57)
classify_decision
Classify an AI agent decision using the MAI Framework (Mandatory/Advisory/Informational). Returns classification level, confidence score, gate requirements, and rationale.
get_gate_status
Check resolution of a MANDATORY gate. Call this after classify_decision returns gateStatus: PENDING. Polls for up to 60 seconds — re-call if still PENDING. Do not proceed with the classified action until this returns APPROVED.
evaluate_threshold
Compute the Storey Threshold — escalation rate (gates required / total operations). Returns current rate, status, and recommendations. Healthy band 10-18% is a design heuristic, not empirically validated.
score_governance
Compute weighted governance score from caller-provided Integrity, Accuracy, and Compliance values (0-1). Returns weighted composite and pass/fail against configured thresholds. Scores are caller-assessed — this tool applies weights and thresholds, not independent evaluation.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Gia MCP Server is categorized under Security and uses a local stdio subprocess. In contrast, MCP Server belongs to Security using local stdio subprocess. Select Gia MCP Server when you need capabilities focused on security and MCP Server when you require tools for security.
Assess the risk tier of an AI system using rule-based mapping to EU AI Act categories (Unacceptable, High, Limited, Minimal). Returns tier and MAI governance recommendations. Classification is heuristic, not a legal determination.
map_compliance
Map GIA governance components to regulatory compliance frameworks (NIST AI RMF, EU AI Act, ISO 42001, NIST 800-53, FedRAMP, LINDDUN, MITRE ATLAS, OMB M-25-22, HIPAA, VHA Trustworthy AI). Returns a DESIGN MAPPING (which GIA component is mapped to each control) across 10 frameworks and 72 controls — NOT third-party certification and NOT measured runtime enforcement. Rows whose control text implies enforcement that is config-gated off by default carry status PARTIAL. Runtime-evidenced coverage requires a ControlBinding (0 controls evidence-bound today).
verify_ledger
Check the internal self-consistency of the hash-chained forensic audit ledger. Walks the in-memory chain reconstruction (not persisted DB rows) and reports whether it is internally consistent and linkage-intact. Not third-party content-verification. Classification: INFORMATIONAL — read-only, no side effects.
verify_ledger_v2
Verify the PERSISTED forensic ledger rows in PostgreSQL (not an in-memory reconstruction). Epoch-aware: epoch-2 rows are content-verified against persisted columns with Ledger Canonical v2; legacy epoch-1 rows are linkage-verified only and labeled honestly. Findings append a MANDATORY LEDGER_INTEGRITY_VIOLATION entry (never repaired, never UPDATEd). Classification: INFORMATIONAL read; MANDATORY escalation on findings.
audit_pipeline
Query the audit ledger for governance entries. Search by operation name or retrieve recent entries. Returns hash-chained audit trail with MAI classification context.
monitor_agents
Monitor the status and health of all governed AI agents. Returns supervisor state, repair history, and failure counts.
evaluate_routing_threshold
Assess model routing health over a time window: safeguard fallback rate, prompt cache hit rate, batch utilization, and premium spend leakage. Returns banded status per metric (HEALTHY / WARNING / CRITICAL / INSUFFICIENT_DATA / UNVERIFIED) plus overall status. CRITICAL overall status opens a Mandatory gate and halts premium-tier routing until a human approves with rationale. Defaults to the last 24 hours.
system_status
Returns a comprehensive read-only snapshot of the GIA governance engine's current state. No parameters required.
RETURNS (JSON object):
- version: server version string (e.g. "0.3.5")
- engine.health: "healthy" | "degraded" | "failed"
- engine.uptimeMs: milliseconds since server start
- governance.totalDecisions: lifetime decision count
- governance.mandatoryCount: decisions classified MANDATORY
- governance.pendingGates: gates awaiting human approval
- storey_threshold.escalationRatePct: MANDATORY rate as percentage (healthy band: 10–18%)
- storey_threshold.status: "HEALTHY" | "DEGRADED" | "CRITICAL"
- ledger.totalEntries: forensic audit trail entry count
- ledger.chainIntegrity: true if hash chain is unbroken
- intelligence.phoenixSnapshots: context recovery snapshots
- intelligence.memoryPacks: sealed memory packs count
- runtimeAccountability.activeSessions: live MCP sessions
- thresholdDetail.interpretation: plain-English health summary
USE WHEN:
- Verifying the governance engine is healthy before dispatching agents
- Checking if mandatory gate backlog is blocking workflow progression
- Auditing Storey Threshold compliance (MANDATORY gate rate ceiling)
- Confirming ledger chain integrity before exporting audit evidence
READ-ONLY: No side effects. Safe to call at any frequency.
+45 more tools listed on main page
MCP Server Tools (55)
report_feedback
Report a data quality issue or agent intent gap for a DataNexus tool response.
tool_id: e.g. "T10" or "security_fetch_cve_detail".
query_hash: From the query_hash field of the response.
signal: incorrect_data | missing_field | stale_data | not_useful | wrong_entity | data_quality.
comment: Issue description. Max 500 chars.
missing_fields: Absent or wrong field names.
feedback_type: "user_feedback" (default) or "agent_gap".
intended_query: Agent's goal. Max 256 chars.
gap_description: What was missing. Max 256 chars.
Example: report_feedback(tool_id="T10", query_hash="abc123", signal="incorrect_data")
report_mcpize_link
Check MCPize subscription status for a DataNexus tool.
tool_id: DataNexus tool identifier e.g. "T10". Pass the tool the user is asking about.
Returns: status ("free" | "subscription_required" | "not_configured"), message, tool_id, and upgrade_url when subscription is required.
Example: report_mcpize_link(tool_id="T10")
validate_tool_output
Validate a DataNexus tool response for data quality issues using two-layer validation: deterministic rules first, then AI review for ambiguous cases. Read-only. Never blocks. tool_id: DataNexus tool identifier e.g. T04, T10, T22. Required. Find in the tool_id field of any response. query_hash: Hash from the response you are validating. Required. Enables feedback correlation. response_json: Full tool response serialised as a JSON string. Required. Returns pass or issues_found, with issues from each layer and whether feedback was auto-filed. Both layers must agree before feedback is filed. Use validate_tool_output to check data quality. Use report_feedback instead to manually report an issue you have already identified. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="validate_tool_output", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
search_datanexus_tools
Find the right DataNexus tool by describing your task in plain English. Read-only. No side effects. Call this before any other DataNexus tool to reduce context load from 40000 to 800 tokens. query: Plain English description of your task e.g. check if a Python package has CVEs or look up a UK charity by name. Required. domain: Restrict results to one sub-server: nonprofit, security, compliance, domain, legal, govcon, or regulatory. Optional. Returns matching tool names and parameter hints you can call directly. Do not call this recursively or to validate results — use validate_tool_output for that. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="search_datanexus_tools", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
nonprofit_fetch_nonprofit_by_ein
Fetch IRS 990 filing data for any US nonprofit by EIN. Read-only. No side effects. Idempotent. US only. ein: 9-digit Employer ID with or without dash, e.g. 46-5734087 or 465734087. Required. Returns name, revenue, expenses, assets, NTEE code, and mission from the most recent 990 filing. Use this when you have the exact EIN. Use nonprofit_search_nonprofits_by_name instead when you only have a name. Verified source: IRS EO BMF + IRS TEOS. 7-day cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="nonprofit_fetch_nonprofit_by_ein", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
nonprofit_search_nonprofits_by_name
Search US nonprofits by name with optional state filter. Read-only. No side effects. Idempotent. US only. Returns up to 25 matches. name: Full or partial organisation name. Required. state: Two-letter US state code e.g. CA, NY. Optional, defaults to all states. Returns EIN, name, state, revenue, and NTEE code for each match. Use this when you have a name but not the EIN. Use nonprofit_fetch_nonprofit_by_ein instead when you have the exact EIN for a precise single lookup. Verified source: IRS EO BMF. 7-day cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="nonprofit_search_nonprofits_by_name", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
nonprofit_fetch_charity_uk
Fetch UK registered charity details by charity number or organisation name. Read-only. No side effects. Idempotent. UK only. charity_number_or_name: UK registered charity number (7 digits, e.g. 1234567) or full/partial organisation name. Required. Returns registration status, income, expenditure, activities, and trustee count. Use this for UK charities. Use nonprofit_fetch_nonprofit_by_ein or nonprofit_search_nonprofits_by_name for US nonprofits. Verified source: UK Charity Commission OGL v3. 24-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="nonprofit_fetch_charity_uk", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
security_fetch_package_vulnerabilities
Fetch all known CVEs for an open source package version or a batch of packages. Read-only. No side effects. Idempotent. Single-package mode: package (e.g. requests), version (e.g. 2.28.0), ecosystem (PyPI/npm/Maven/Go/Cargo/NuGet/RubyGems). Batch mode: packages array of {name, version, ecosystem} objects — max 50 per call. If packages array is provided and non-empty, batch mode is used and package/version/ecosystem are ignored. Batch returns {results: [...], partial: bool, failed_count: int}. Each result has vuln_count and vulnerabilities list. Returns CVE ID, severity, CVSS score, affected range, and fixed version. Use security_fetch_cve_detail for full detail by CVE ID. Use security_audit_sbom_vulnerabilities for SBOM files. Verified source: Google OSV.dev. 1-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_fetch_package_vulnerabilities", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
security_fetch_dependency_graph
Fetch the full dependency tree for a package version including transitive dependencies. Read-only. No side effects. Idempotent. Hard 8-second timeout — large dependency trees may return partial results. package: Package name. Required. version: Exact version string e.g. 1.2.3. Required. ecosystem: One of PyPI, npm, Maven, Go, Cargo, NuGet, RubyGems. Required. Returns all direct and transitive dependencies with version constraints. Use this to understand full supply chain exposure. Use security_fetch_package_vulnerabilities instead when you only need CVEs for a single package. Verified source: deps.dev (Google). 1-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_fetch_dependency_graph", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
security_fetch_cve_detail
Fetch full detail for a specific CVE by ID. Read-only. No side effects. Idempotent. cve_id: CVE identifier in format CVE-YYYY-NNNNN e.g. CVE-2021-44228. Required. Returns description, CVSS base score, affected products, patch references, and publish date. Use this when you have a CVE ID and need complete detail beyond what a package scan returns. Use security_fetch_package_vulnerabilities instead when you want all CVEs for a package version. Verified source: NIST NVD. 1-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_fetch_cve_detail", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
security_audit_sbom_vulnerabilities
Audit a Software Bill of Materials for known vulnerabilities across all listed packages. Read-only. No side effects. Idempotent. sbom_json: CycloneDX or SPDX SBOM as a JSON string. Required. Large SBOMs (100+ packages) may take up to 10 seconds. Returns CVEs grouped by package with severity and fixed versions. Use this when you have a full SBOM to audit. Use security_fetch_package_vulnerabilities instead when checking a single package version. Verified source: Google OSV.dev batch API. 1-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_audit_sbom_vulnerabilities", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
security_fetch_package_licence
Fetch the SPDX licence identifier for an open source package version. Read-only. No side effects. Idempotent. package: Package name e.g. flask. Required. version: Exact version string e.g. 2.3.0. Required. ecosystem: One of PyPI, npm, Maven, Go, Cargo, NuGet, RubyGems. Required. Returns the SPDX licence identifier e.g. MIT, Apache-2.0, GPL-3.0. Use this to verify licence compatibility before including a dependency. Use security_fetch_package_vulnerabilities instead when checking for security issues not licences. Verified source: deps.dev (Google). 1-hour cache. If this tool's response does not serve the user's need, call report_feedback with feedback_type="agent_gap", tool_id="security_fetch_package_licence", intended_query="{what the user needed}", gap_description="{what was missing or wrong in the result}".
