ai-agent-layer (mhsh77/ai-agent-layer) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 16 tools. No publisher has claimed this listing.

Emerging

74/100

ai-agent-layer

Item: ai-agent-layer
Rating: 74
Author: M8ven

Enables AI agents to interact with any website through MCP, providing structured knowledge graph contexts, generated actions, and readiness scoring.

→ mhsh77/ai-agent-layer · listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every push why connect →

Who stands behind it

mhsh77

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 5 credentials: ANTHROPIC_API_KEY, BOOTSTRAP_ADMIN_KEY, DEEPSEEK_API_KEY, DEMO_KEY, EMBEDDING_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// environment variables

To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.

configAGENTLAYER_MCP_TIER

configAGENTLAYER_SITE

configAGENTLAYER_STDIO

🔐 secretANTHROPIC_API_KEYsk-ant-...

configANTHROPIC_BASE_URL

configANTHROPIC_MAX_TOKENS

configANTHROPIC_MODELclaude-sonnet-5

configAPI_KEY_PEPPERBefore anything public, set in .env to a random secret —

configBASE

🔐 secretBOOTSTRAP_ADMIN_KEY

configCONTEXT_TOKEN_BUDGET6000 soft budget for context.json

configCRAWLER_USER_AGENT

configCRAWL_CONCURRENCY

configCRAWL_DELAY_MS

configCRAWL_MAX_BYTES

configCRAWL_MAX_DEPTH

configCRAWL_MAX_PAGES

configCRAWL_RENDERauto renders only pages that look client-rendered

configCRAWL_RESPECT_ROBOTS

configCRAWL_TIMEOUT_MS

configDB_FILEdata/agentlayer.db SQLite, WAL mode

🔐 secretDEEPSEEK_API_KEYalternative provider

configDEEPSEEK_BASE_URL

configDEEPSEEK_MAX_TOKENS

configDEEPSEEK_MODEL

🔐 secretDEMO_KEY

🔐 secretEMBEDDING_API_KEYEMBEDDING_PROVIDER=voyage and .

configEMBEDDING_BASE_URL

configEMBEDDING_DIM

configEMBEDDING_MODEL

configEMBEDDING_PROVIDERvoyage and EMBEDDING_API_KEY.

configHEIGHT

configHOST

configLLM_MAX_INPUT_CHARS

configLLM_MAX_RETRIES

configLLM_PROVIDERauto auto \ anthropic \ deepseek \ heuristic

configLLM_TIMEOUT_MS

configLOG_LEVEL

configMONITOR_ENABLED

configMONITOR_INTERVAL_MSThe scheduler recrawls every site on (default 6 h) and

configMONITOR_STARTUP_DELAY_MS

configOUT

configPUBLIC_URL

configRATE_LIMIT_ANONYMOUS

configRATE_LIMIT_DEFAULT

configRATE_LIMIT_WINDOW_MS

configWIDTH

Deployment configuration, supplied by whoever hosts the server. Users are not asked for these.

deployPORT

// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

16/16 tools missing one or more hints — get_company_info (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_knowledge (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); answer_question (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +13 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tool test coverage

12/16 tools referenced in tests (75%)

Write tests that reference each tool by name so every tool has at least one test.

Secrets not logged

1 secret value sent to console.log

Redact or omit secret values from log output.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail

The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.

// improvement guidance — verified publishers only

We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/mhsh77/ai-agent-layer)](https://m8ven.ai/mcp/mhsh77/ai-agent-layer)

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commit: 114ce09d653c4ec1641b92b41340aad98e9ed8a4

code hash: 93e49b9bb16f49214b91ee741f08e332d1015be658458fe930143241f339f01c

view raw JSON →

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