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◇MCP serverResearchFree

Exa MCP Server

Connects AI assistants to Exa web search, code search, and company/deep research.

@ai-supply
Installationen1.4k
⟳ upstream main@e64c11f · updated 10d ago
↗ Quell-Repository
← More ResearchResearch leaderboard →How we grade security →Source ↗
! Grade B · 75/100 · ReviewSecurity assessment
✓No compromise signals8capabilities surfaced1known CVE10of 20 OWASP controls clear
External endpoints declaredExternal endpoints declaredExternal endpoints declaredExternal endpoints declared
scanned 4d ago·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

Exa MCP Server

The Exa MCP Server connects AI assistants to Exa's search capabilities through the Model Context Protocol.

It exposes tools for real-time web search, code search, and company/deep research, returning high-quality, relevant results that an agent can use as grounded context. Exa also offers a hosted MCP endpoint for zero-install setup.

It is intended for developers who want to give their agents fast, high-signal web and research search.

Rating rank
#1
of 17 in Research
Install rank
#17
of 17 in Research
Security score
75/100 · B
review
Security rank
#9
of 17 in Research
Installs
1.4k
cat avg 51k
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! Security: Review · 7575/100 · grade Bscanned 4d ago
✓ no compromise signals9 risk-surface · 4/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

What this capability can do · high confidence (static)
Tools (9)
agent_runcompany_research_exadeep_researcher_checkdeep_researcher_startdeep_search_exaget_code_context_exalinkedin_search_exapeople_search_exaweb_search_advanced_exa
⚑ filesystem⚑ network⚑ secrets
egress → docs.exa.ai, mcp.exa.ai, registry.npmjs.org, cursor.com, custom-icon-badges.demolab.com, vscode.dev, claude.com, img.shields.io +27

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).

OWASP Top 10 for LLM Applications
⚠LLM03Supply Chaincritical
Vulnerable/compromised dependencies, models or archives in the artifact.
•Dependency manifest — 16 npm dependencies declared · exa-labs-exa-mcp-server-e64c11f/package.jsonrisk surface
•Vulnerable dependencies — 86 known vulnerabilities in: @hono/node-server@1.19.14, @tootallnate/once@2.0.0, ajv@8.6.3, axios@1.15.2, body-parser@2.2.2, brace-expansion@1.1.14, debug@4.1.1, esbuild@0.14.47 (CWE-1395)known CVE · -25 pts
⚠LLM06Excessive Agencymedium
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 3 distinct host(s) · exa-labs-exa-mcp-server-e64c11f/.claude-plugin/marketplace.jsonrisk surface
•External endpoints declared — 2 distinct host(s) · exa-labs-exa-mcp-server-e64c11f/.claude-plugin/plugin.jsonrisk surface
•External endpoints declared — 1 distinct host(s) · exa-labs-exa-mcp-server-e64c11f/.github/workflows/publish.ymlrisk surface
•External endpoints declared — 15 distinct host(s) · exa-labs-exa-mcp-server-e64c11f/README.mdrisk surface
•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege · exa-labs-exa-mcp-server-e64c11f/package-lock.json (CWE-272)risk surface
•External endpoints declared — 7 distinct host(s) · exa-labs-exa-mcp-server-e64c11f/package-lock.jsonrisk surface
•External endpoints declared — 4 distinct host(s) · exa-labs-exa-mcp-server-e64c11f/tests/unit/api/mcp.test.tsrisk surface
⚠LLM10Unbounded Consumptionmedium
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
•Potentially unbounded loop — an infinite loop (while True / while(1) / for(;;)) may cause runaway consumption · exa-labs-exa-mcp-server-e64c11f/src/tools/agentRun.ts (CWE-835)risk surface
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
✓LLM01Prompt InjectionPassed
✓LLM02Sensitive Information DisclosurePassed
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
✓LLM05Improper Output HandlingPassed
✓LLM07System Prompt LeakagePassed
✓LLM08Vector and Embedding WeaknessesPassed
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
OWASP Machine Learning Security Top 10
⚠ML06AI Supply Chaincritical
Compromised PyPI/npm packages, typosquats, unsafe serialized models.
•Dependency manifest — 16 npm dependencies declared · exa-labs-exa-mcp-server-e64c11f/package.jsonrisk surface
•Vulnerable dependencies — 86 known vulnerabilities in: @hono/node-server@1.19.14, @tootallnate/once@2.0.0, ajv@8.6.3, axios@1.15.2, body-parser@2.2.2, brace-expansion@1.1.14, debug@4.1.1, esbuild@0.14.47 (CWE-1395)known CVE · -25 pts
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
◷ML09Output IntegrityRuntime-enforced
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
✓ML02Data PoisoningPassed
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.
Other findings (6) · hygiene / uncategorized
•Unrecognized file type — '.gitignore' is not on the allowlist · exa-labs-exa-mcp-server-e64c11f/.gitignorerisk surface
•Unrecognized file type — '.npmignore' is not on the allowlist · exa-labs-exa-mcp-server-e64c11f/.npmignorerisk surface
•Unrecognized file type — '.prettierignore' is not on the allowlist · exa-labs-exa-mcp-server-e64c11f/.prettierignorerisk surface
•Unrecognized file type — '.vercelignore' is not on the allowlist · exa-labs-exa-mcp-server-e64c11f/.vercelignorerisk surface
•Unrecognized file type — '.?' is not on the allowlist · exa-labs-exa-mcp-server-e64c11f/LICENSErisk surface
•Unrecognized file type — '.example' is not on the allowlist · exa-labs-exa-mcp-server-e64c11f/env.examplerisk surface
✔ verified source · pinned exa-labs-exa-mcp-server-e64c11f
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/exa-mcp-server/check). Click a policy:

Consume Exa MCP Server programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/exa-mcp-server

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/exa-mcp-server/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add exa-mcp-server

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/exa-mcp-server/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "exa-mcp-server" })
OpenAPI spec →
vlatest
! Security: Review · 751mo ago

Curated mirror — latest upstream source. See the repository for tagged releases.

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