Paparats MCP (IBazylchuk/paparats-mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 24 tools. No publisher has claimed this listing.

C
Emerging
74/100
3 months ago

Paparats MCP

Provides AI coding assistants with deep, semantic understanding of local codebases via AST-aware chunking, cross-repo symbol graphs, and architectural memory, enabling context-aware code search and dependency tracing.

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

Code Verified⚡ Live Monitored: not connected

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

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

IBazylchuk

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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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 2 credentials: GITHUB_TOKEN, QDRANT_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.
configCHANGE_DETECTION
configCONFIG_DIR
configCRON
configCRON_FAST
configEDITORpaparats edit composeprojects Open the file in $; on save, validate +
configEMBEDDING_MODELOverrides: (defaults: text-embedding-3-small,
🔐 secretGITHUB_TOKENCI (auto) Open/update the chore: release PR
configOLLAMA_BATCH_CHARS
configOLLAMA_BATCH_SIZE
configOLLAMA_URL
configOTEL_EXPORTER_OTLP_ENDPOINTunset OTLP HTTP endpoint (e.g. http://localhost:4318/v1/traces)
configOTEL_EXPORTER_OTLP_HEADERSAuthorization=Bearer <apm-secret-token>
configOTEL_RESOURCE_ATTRIBUTESunset Extra resource attrs (key=value,key2=value2)
configOTEL_SERVICE_NAMEpaparats-mcp
configPAPARATS_ANALYTICS_DB_PATH~/.paparats/analytics.db Analytics DB file
configPAPARATS_ANALYTICS_ENABLEDtrue Local SQLite analytics writes
configPAPARATS_ANALYTICS_RETENTION_DAYS90 Daily prune cutoff
configPAPARATS_ANALYTICS_RETENTION_RUN_HOUR3 Hour-of-day for prune (local time)
configPAPARATS_GROUP
configPAPARATS_IDENTITY_HEADERX-Paparats-User Header name for user attribution
configPAPARATS_INDEXER_URL
configPAPARATS_LOG_QUERY_TEXTtrue If false, store NULL for search_events.query_text
configPAPARATS_LOG_RESULT_FILEStrue If false, store NULL for search_results.file
configPAPARATS_METRICSObservability built in. When =true, every read/write hits a
configPAPARATS_OTEL_ENABLEDfalse Enable OTel SDK + OTLP exporter
configPAPARATS_PROJECTS
configPAPARATS_REFORMULATION_WINDOW_MS90000 Reformulation detection window
configPAPARATS_SERVER_URL
configPAPARATS_TELEMETRY_SAMPLE_RATE1.0 Sampling rate (errors are always kept)
configPAPARATS_UI_BASIC_AUTHProtect it (optional): =user:pass — applies to /ui and /api/analytics only; /mcp and /api/search stay open so agents keep working.
configPAPARATS_UI_DEMOShow the screenshot view to anyone without touching real data: =true (or append ?demo=1 to the URL once).
🔐 secretQDRANT_API_KEYAsks for an API key after; stored in ~/.paparats/.env as .
configQDRANT_URL
configQUERY_CACHE_MAX_ENTRIESmax cached queries (default: 1000)
configQUERY_CACHE_TTL_MSTTL in milliseconds (default: 300000)
configREPOS
configREPOS_DIR
configSTATE_DB_PATH
configVISUAL
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

24/24 tools missing one or more hints — search_code (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); health_check (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_chunk (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +21 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.

Tool inputs are validated

19/24 tool handlers declare input schemas (79%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

12/24 tool handlers wrap calls in try/catch (50%)

Wrap each tool handler body in try/catch and return a structured error response.

Tool test coverage

Only 0/24 tools referenced in tests (0%)

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

Shell command execution

9 child_process calls — runs shell commands

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

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 6 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/ibazylchuk/paparats-mcp)](https://m8ven.ai/mcp/ibazylchuk/paparats-mcp)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: b15caa78407e510a7d1cb647677492d89416d981
code hash: b25507c6ebd57c8a5177167cd500bbac617de72ae3773e5ced4a585be5f22f73
verified: 6/12/2026, 10:45:27 AM
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