Trust Chain MCP
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Trust Chain MCPcreate an attestation for the AI model version 2.1"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Trust Chain MCP
mcp-name: io.github.CSOAI-ORG/trust-chain-mcp
Trust Chain
By MEOK AI Labs ā Trust chain and attestation management by MEOK AI Labs.
Trust chain and attestation management by MEOK AI Labs
Trust chain and attestation management by MEOK AI Labs.
š Quick Start
Related MCP server: TrustAtom MCP Server
Quick Install
Client | Install |
Claude Desktop | |
Cursor | |
VS Code | |
Windsurf | |
Docker |
|
pip |
|
Installation
# Install via pip
pip install trust_chain_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install trust-chain-mcp --client claude⨠Features
MCP protocol compliant
Easy installation
Well-documented API
Production-ready
Active maintenance
š Documentation
š”ļø Compliance
This MCP server is built with EU AI Act compliance built-in:
ā Article 9 ā Risk Management System
ā Article 13 ā Transparency & Instructions for Use
ā Article 15 ā Bias Detection & Testing
ā Article 26 ā FRIA Support (where applicable)
ā Article 50 ā AI Content Watermarking (where applicable)
Need help getting compliant? Book a free 15-min diagnostic ā
š¢ Enterprise
Need custom development, SLA guarantees, or white-label deployment?
Pro: $99/mo ā Full MCP suite + EU AI Act tracking
Enterprise: $499/mo ā Custom dev + SLA + Dedicated support
View Pricing ā | Contact Sales ā
š¤ Part of the MEOK Ecosystem
This server is part of the MEOK AI Labs ecosystem ā 300+ MCP servers for sovereign AI governance.
Domain | Purpose |
EU AI Act compliance marketplace | |
AI safety & monitoring | |
Sovereign AI platform | |
Legacy modernization |
š License
MIT Ā© CSOAI-ORG
License
MIT ā MEOK AI Labs
Pairs with MEOK Governance Suite
Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool ā EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.
# One-shot install of the governance pack
npx meok-setup --pack governanceFree tier: 10 calls/day per MCP. Pro tier (Ā£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.
ā Full catalogue: councilof.ai/catalogue ā MEOK AI Labs: meok.ai
šø Try MEOK in 30 seconds ā instant buy ladder
Tier | Price | What you get | Stripe |
Smoke test | £1 | Signed sample MCP-Hardening report + Article 50 PDF | |
Quick Kit | £9 | EU AI Act Article 50 implementation guide (C2PA + EU-Icon) | |
Founder Call | £29 | 30-min 1-on-1 with the founder |
Refundable. UK Stripe ā VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.
Configuration
Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"trust-chain-mcp": {
"command": "uvx",
"args": ["trust-chain-mcp"]
}
}
}Or: pip install trust-chain-mcp then run the trust-chain-mcp command (stdio transport).
Examples
Once configured, ask your assistant, for example:
"Use
create_trust_anchorto ā¦""Use
verify_chainto ā¦""Use
add_attestationto ā¦"
Available Tools
5 toolsadd_attestationC
Add an attestation (claim) to an existing trust anchor.
| Name | Required | Description | Default |
|---|---|---|---|
| anchor_id | Yes | ||
| attester_id | Yes | ||
| claim | Yes | ||
| confidence | No | ||
| evidence | No | ||
| api_key | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description indicates a mutation (add), but provides no further behavioral details. With no annotations present, the description should disclose side effects, permissions, idempotency, or error conditions. It lacks context such as whether the attestation overwrites duplicates, whether the anchor is modified, or any auth requirements.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that front-loads the core action. It is not overly verbose, but it sacrifices informativeness for brevity. A slightly longer description with parameter hints would be more useful while still being concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool has 6 parameters with no schema descriptions, no annotations, and no output schema, the description is severely incomplete. It does not explain parameter usage, return value, or behavior beyond the basic action. The agent cannot infer correct usage from this alone.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0% description coverage, and the tool description adds no meaning to the parameters. Parameters like confidence, evidence, and api_key remain unexplained. The description fails to compensate for the missing schema descriptions, leaving the agent guessing their purpose and format.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action: add an attestation (claim) to an existing trust anchor. It uses a specific verb and resource, distinguishing it from sibling tools like create_trust_anchor which creates a new anchor, and revoke_trust which revokes trust.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites (e.g., anchor must exist) or when not to use it. The description implies the anchor must exist but does not state this explicitly or suggest checking with other tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create_trust_anchorC
Create a new trust anchor (root of trust) for an entity.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | Yes | ||
| entity_name | Yes | ||
| trust_level | No | ||
| metadata | No | ||
| api_key | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full burden of behavioral disclosure. It only states 'create' with no details on side effects, idempotency, permissions required, or what happens on duplicate entity_id. For a mutation tool, this is insufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, which is appropriately concise, but it sacrifices informativeness. It could incorporate key parameter details without becoming verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (5 parameters, nested objects, no output schema), the description is incomplete. It fails to explain what a trust anchor is, how parameters interact, or what the return value is, leaving the agent without critical context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not mention any of the 5 parameters (entity_id, entity_name, trust_level, metadata, api_key). The agent gets no help understanding the meaning, defaults, or constraints of these parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('create') and the resource ('trust anchor'), adding domain context ('root of trust for an entity'). However, it does not differentiate from sibling tools like add_attestation, which might also create related entities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives (e.g., revoke_trust, verify_chain). There is no mention of prerequisites, scenarios, or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get_trust_scoreC
Calculate a composite trust score for an anchor based on its attestations.
| Name | Required | Description | Default |
|---|---|---|---|
| anchor_id | Yes | ||
| api_key | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits. It only states that the tool calculates a score, without mentioning whether it is read-only, authorization needs (api_key is optional but not explained), or any side effects.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no waste. However, it is extremely minimal and could benefit from more structure, such as separating purpose from usage notes.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, an output schema, and the presence of sibling tools, the description is incomplete. It does not explain what the trust score output looks like, nor any preconditions or behavior beyond the basic calculation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description adds no meaning beyond the schema. It does not explain the role of 'anchor_id' or 'api_key', leaving the agent without guidance on how to supply parameters correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb 'Calculate' and clearly identifies the resource 'composite trust score for an anchor based on its attestations.' This distinguishes it from sibling tools like add_attestation, create_trust_anchor, revoke_trust, and verify_chain, which have different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. There is no mention of prerequisites, when-not to use, or context that helps an agent decide between this and siblings like verify_chain.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
revoke_trustC
Revoke a trust anchor or attestation. This invalidates the chain.
| Name | Required | Description | Default |
|---|---|---|---|
| target_id | Yes | ||
| reason | Yes | ||
| revoked_by | Yes | ||
| api_key | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose all behavioral traits. It mentions 'invalidates the chain,' hinting at a destructive action, but omits details like required permissions, reversibility, rate limits, or side effects. The disclosure is minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no unnecessary wording, but it is too short to be informative. While concise, it sacrifices essential details, making it minimally acceptable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given 4 parameters (3 required), no output schema, and no annotations, the description is severely incomplete. It fails to explain key concepts (trust anchor, attestation, chain), the revocation process, or how parameters relate to each other, leaving the agent ill-equipped to use the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not explain any of the four parameters (target_id, reason, revoked_by, api_key). The parameter names alone are unclear (e.g., 'target_id' could refer to an anchor or attestation), so the agent gets no assistance in filling them correctly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Revoke a trust anchor or attestation' and indicates the effect 'invalidates the chain.' The verb and resource are clear, but it does not differentiate from sibling tools like add_attestation or create_trust_anchor, which may also involve trust operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives (e.g., get_trust_score, verify_chain). There are no preconditions, warnings, or exclusions mentioned, leaving the agent without context for appropriate invocation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
verify_chainC
Verify the integrity of a trust chain by validating all attestations.
| Name | Required | Description | Default |
|---|---|---|---|
| anchor_id | Yes | ||
| api_key | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It states it validates attestations, but does not reveal whether the tool is read-only, what happens on invalid chains, or any side effects. Minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence, which is concise. However, it is under-specified; conciseness should not come at the expense of useful content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given low complexity (2 parameters, no output schema), the description should cover return value and parameter roles. It fails to do so, leaving the agent with insufficient information.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, yet the description provides no information about the parameters (anchor_id, api_key). The agent gets no help understanding what these mean or how to use them.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Verify the integrity of a trust chain by validating all attestations.' It uses a specific verb and resource, and distinguishes from sibling tools like add_attestation or revoke_trust, which have different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus its siblings. It does not mention prerequisites, contexts where verification is appropriate, or when not to use it.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
5 tool updates
v1.0.0- First observed
add_attestation - First observed
create_trust_anchor - First observed
get_trust_score - First observed
revoke_trust - First observed
verify_chain
TDQS
Each tool has a distinct and clear purpose: creating a trust anchor, adding attestations, computing trust score, revoking trust, and verifying the chain. No two tools overlap in functionality.
All tool names follow a consistent verb_noun pattern in snake_case, such as 'create_trust_anchor' and 'verify_chain'. The naming is predictable and uniform.
With 5 tools, the server is well-scoped for the domain of trust chain management. Each tool covers a fundamental operation without redundancy or excessive granularity.
The set covers core CRUD and lifecycle operations for trust anchors and attestations, including creation, attestation, scoring, revocation, and verification. However, it lacks list/read endpoints to retrieve existing anchors or attestations, which could be a minor gap in some workflows.
Maintenance
Related MCP Connectors
Register every AI agent, log every action, prove it. EU AI Act compliance built in.
Runtime AI governance: decision gates, human approval, hash-chained audit, compliance mapping.
Tamper-evident proof creation and verification for AI agents via MCP, A2A, and REST.
- kanonikOAuthai.kanonik
Governance runtime for compliance: verified, human-approved writes to a tamper-evident record.
Related MCP Servers
- AlicenseAqualityCmaintenanceEnables AI agents to sign decisions with post-quantum cryptographic proofs and maintain secure audit trails for compliance. It provides tools for stamping events, verifying chain integrity, and exporting audit data across industries like finance and healthcare.487MIT
- AlicenseAqualityBmaintenanceProvides cryptographic signing and verification for AI decisions to generate verifiable, Ed25519-signed receipts for compliance and auditing. It automatically maps AI actions to regulatory frameworks like HIPAA and SOX with high-performance, sub-3ms signing.4MIT
- AlicenseNot gradedqualityFmaintenanceProvides tamper-proof audit logging for AI agents using SHA-256 hash chains, integrity verification, and compliance reporting for the EU AI Act.1MIT
- AlicenseAqualityCmaintenanceIssues, verifies, and exchanges portable cryptographic compliance passports for AI agents, enabling offline verification of regulatory compliance across 11 frameworks.3MIT
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/CSOAI-ORG/trust-chain-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server