io.github.myshra777-ai/garuda
OCI · GHCR.IO/MYSHRA777-AI/GARUDA-MCP
Impact analysis, architecture rules and a tamper-evident ledger for AI coding agents.
Available components
Last scanned (5 hours ago)
Scores higher than 46% of OCI servers
Category Developer Tools
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security0
- No malware scan is available for this kind of package: the supply-chain vendors we use do not cover it. This is a permanent gap in our coverage, not a finding about the package.Unverified
- Known CVEs could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
- Install-script risk not yet assessed.Unverified
- Dependency health could not be checked: this artifact ships no SBOM or dependency manifest, so there is no dependency list to read.Unverified
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (Apache-2.0).Pass
- Actively maintained (last published 1 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability80
- 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 5236 tokens (~93/item across 56 items; 54 tools + 2 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management7
- Stability observed for 2 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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 54 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 56 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. 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.
- 4 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 0 to 3. That category is still filling its 30-day observation window: 0 days of observed history at the previous scan, 1 at this one. The score rises as the window fills, whether or not the server changes.
- 3 Nov 26 40
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 5 Nov 2026 · Analysed oci/ghcr.io/myshra777-ai/garuda-mcp@1.9.11
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | oci |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
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 →
garuda.verify_claim ~145
Verify a structured edge (from_symbol, predicate, to_symbol) or prose claim against the indexed graph and return SUPPORTED, CONTRADICTED, or NOT_IN_GRAPH with a cryptographic receipt.
| Name | Type | Req | Description |
|---|---|---|---|
| claim | string | – | Claim text (e.g. 'RefundHandler CALLS IdempotencyStore'), symbol, or claim_id |
| from_symbol | string | – | Structured caller/source symbol name |
| predicate | string | – | Edge predicate (CALLS, IMPORTS, IMPLEMENTS, INHERITS, REFERENCES, WRITES, READS) |
| to_symbol | string | – | Structured callee/target symbol name |
| workspace | string | – | Workspace name |
No output schema declared.
No examples provided.
garuda.verify_evidence ~107
Verify the RFC 6962 Merkle inclusion proof or SHA-256 evidence digest for a policy evaluation, evidence block, or decision UUID. Read-only; no side effects.
| Name | Type | Req | Description |
|---|---|---|---|
| decision_id | string | – | Optional decision UUID |
| evaluation_id | string | – | Alias for evidence_id (policy evaluation UUID) |
| evidence_id | string | – | Evidence block or policy evaluation UUID |
| tenant_id | string | – | Tenant UUID |
| workspace | string | – | Optional workspace name |
No output schema declared.
No examples provided.
garuda.verify_policy_evaluation ~74
Verify the Merkle inclusion proof for a persisted policy evaluation. Returns valid=true if the proof recomputes to the anchored root. Read-only; no side effects.
| Name | Type | Req | Description |
|---|---|---|---|
| evaluation_id | string | yes | Policy evaluation UUID returned by garuda policy evaluate --save |
| tenant_id | string | – | Tenant UUID |
No output schema declared.
No examples provided.
garuda.verify_receipt ~79
Recompute receipt_hash, graph_fingerprint, and policy_set_version from the current AST and git commit to cryptographically verify a pre-edit or guard receipt.
| Name | Type | Req | Description |
|---|---|---|---|
| receipt_hash | string | – | Optional receipt_hash to verify against recomputed digest |
| tenant_id | string | – | Optional tenant UUID |
| workspace | string | – | Workspace name |
No output schema declared.
No examples provided.
How do I install the io.github.myshra777-ai/garuda MCP server?
io.github.myshra777-ai/garuda runs locally as a container image, launched with docker run --rm -i -e DATABASE_URL -e GARUDA_WORKSPACE ghcr.io/myshra777-ai/garuda-mcp:1.9.11. Ready-made configuration for Claude, Cursor, VS Code, Codex and 3 more is on this page, copied from each client's own documentation.
oci · ghcr.io/myshra777-ai/garuda-mcp
claude mcp add myshra777-ai-garuda -- docker run --rm -i -e DATABASE_URL -e GARUDA_WORKSPACE ghcr.io/myshra777-ai/garuda-mcp:1.9.11
This image reads DATABASE_URL and GARUDA_WORKSPACE. Set them in your client's env block for this server; docker run -e passes each one through to the container.
What is the io.github.myshra777-ai/garuda MCP server?
io.github.myshra777-ai/garuda is an MCP server listed in the public MCP registry as io.github.myshra777-ai/garuda. Impact analysis, architecture rules and a tamper-evident ledger for AI coding agents. This page covers its container image (ghcr.io/myshra777-ai/garuda-mcp).
Is the io.github.myshra777-ai/garuda MCP server safe to use?
io.github.myshra777-ai/garuda scores 41 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.myshra777-ai/garuda MCP server expose?
io.github.myshra777-ai/garuda exposes 54 tools: garuda.briefing, garuda.query, garuda.get_lineage, garuda.detect_contradictions, garuda.get_impact, and 49 more. Their descriptions and schemas cost roughly 5,130 tokens of context every time the server is loaded.
Is the io.github.myshra777-ai/garuda MCP server still maintained?
io.github.myshra777-ai/garuda is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.myshra777-ai/garuda MCP server under?
io.github.myshra777-ai/garuda declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.