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Exa MCP Server

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

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Installs1.4k
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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 16 in Research
Install rank
#16
of 16 in Research
Security score
100/100 · A
safe
Security rank
#1
of 16 in Research
Installs
1.4k
cat avg 51k
This listing vs category average
Installs
this
cat avg
Security (of 100)
this
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Adoption trend
See the Research leaderboard →
✓ Security: Safe · 100100/100 · grade Ascanned 2h ago

Only compromise signals — malicious or tampered code (leaked secrets, backdoors, path traversal, a dropped executable) — reduce the score. Dangerous-by-capability traits (shell, network, injection strings, pickle) are shown as risk surface: expected for some capabilities — a security tool ships offensive code on purpose — so they do not sink the grade.

Compromise signals
None — no malicious or tampered code detected in the scanned source.
What this capability can do · high confidence (static)
Tools (12)
agent_cancel_runagent_create_runagent_get_run_outputagent_wait_for_runcompany_research_exadeep_researcher_checkdeep_researcher_startdeep_search_exaget_code_context_exalinkedin_search_exapeople_search_exaweb_search_advanced_exa
⚑ filesystem⚑ network⚑ secrets
egress → dashboard.exa.ai, mcp.exa.ai, exa.ai, auth.exa.ai, developers.openai.com, api.agnost.ai, api.exa.ai, redis.example +3
Risk surface (16)
External endpoints declaredlowexa-labs-exa-mcp-server-c4b419a/.claude-plugin/marketplace.json
3 distinct host(s)
External endpoints declaredlowexa-labs-exa-mcp-server-c4b419a/.claude-plugin/plugin.json
2 distinct host(s)
Broad capability surfacelowexa-labs-exa-mcp-server-c4b419a/README.md
3 high-impact capability categories referenced — verify least-privilege
External endpoints declaredmediumexa-labs-exa-mcp-server-c4b419a/README.md
12 distinct host(s)
Path traversal sequencesmediumexa-labs-exa-mcp-server-c4b419a/api/mcp.ts
'../' present in content or name
External endpoints declaredlowexa-labs-exa-mcp-server-c4b419a/env.example
1 distinct host(s)
Suspicious code patternshighexa-labs-exa-mcp-server-c4b419a/llm_mcp_docs.txt
pipe-to-shell install
Potentially unbounded loopmediumexa-labs-exa-mcp-server-c4b419a/llm_mcp_docs.txt
an infinite loop (while True / while(1) / for(;;)) may cause runaway consumption
Broad capability surfacelowexa-labs-exa-mcp-server-c4b419a/llm_mcp_docs.txt
5 high-impact capability categories referenced — verify least-privilege
Prompt-injection phrasinghighexpected for this capabilityexa-labs-exa-mcp-server-c4b419a/llm_mcp_docs.txt
instruction-subversion language detected
External endpoints declaredmediumexa-labs-exa-mcp-server-c4b419a/llm_mcp_docs.txt
76 distinct host(s)
External endpoints declaredlowexa-labs-exa-mcp-server-c4b419a/npm.readme.md
7 distinct host(s)
Possible obfuscationmediumexa-labs-exa-mcp-server-c4b419a/src/tools/companyResearch.ts
very long lines
Embedded credentialshighexpected for this capabilityexa-labs-exa-mcp-server-c4b419a/tests/unit/api/mcp.test.ts
found: hardcoded credential
External endpoints declaredlowexa-labs-exa-mcp-server-c4b419a/tests/unit/api/mcp.test.ts
4 distinct host(s)
Vulnerable dependencieshigh
51 known vulnerabilities in: @tootallnate/once@2.0.0, ajv@8.6.3, axios@1.15.2, debug@4.1.1, esbuild@0.14.47, esbuild@0.27.7, fast-uri@3.1.0, form-data@4.0.5
✔ verified source · pinned exa-labs-exa-mcp-server-c4b419a
Check against a policy

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

OWASP AI control mapping
5passed
10flagged
0runtime-enforced
5governance

Evaluated against the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any control to see the findings.

OWASP Top 10 for LLM Applications
⚠LLM01Prompt Injectionhigh
Adversarial instructions embedded in an artifact that hijack a downstream LLM.
•Prompt-injection phrasing — instruction-subversion language detected (CWE-77)
⚠LLM02Sensitive Information Disclosurehigh
Secrets, credentials or PII shipped inside the artifact.
•Embedded credentials — found: hardcoded credential (CWE-798)
⚠LLM03Supply Chainhigh
Vulnerable/compromised dependencies, models or archives in the artifact.
•Dependency manifest — 17 npm dependencies declared
•Vulnerable dependencies — 51 known vulnerabilities in: @tootallnate/once@2.0.0, ajv@8.6.3, axios@1.15.2, debug@4.1.1, esbuild@0.14.47, esbuild@0.27.7, fast-uri@3.1.0, form-data@4.0.5 (CWE-1395)
✓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 Handlinghigh
Code that pipes model/user output into shell, eval, SQL or paths unsafely.
•Path traversal sequences — '../' present in content or name (CWE-22)
•Suspicious code patterns — pipe-to-shell install (CWE-494)
⚠LLM06Excessive Agencymedium
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 3 distinct host(s)
•External endpoints declared — 2 distinct host(s)
•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege (CWE-272)
•External endpoints declared — 12 distinct host(s)
•External endpoints declared — 1 distinct host(s)
•Broad capability surface — 5 high-impact capability categories referenced — verify least-privilege (CWE-272)
•External endpoints declared — 76 distinct host(s)
•External endpoints declared — 7 distinct host(s)
•External endpoints declared — 4 distinct host(s)
⚠LLM07System Prompt Leakagehigh
Secrets, internal hosts or proprietary logic exposed in shipped prompts.
•Embedded credentials — found: hardcoded credential (CWE-798)
✓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.
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
⚠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 (CWE-835)
OWASP Machine Learning Security Top 10
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
⚠ML02Data Poisoninghigh
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
•Prompt-injection phrasing — instruction-subversion language detected (CWE-77)
§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.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
⚠ML06AI Supply Chainhigh
Compromised PyPI/npm packages, typosquats, unsafe serialized models.
•Dependency manifest — 17 npm dependencies declared
•Vulnerable dependencies — 51 known vulnerabilities in: @tootallnate/once@2.0.0, ajv@8.6.3, axios@1.15.2, debug@4.1.1, esbuild@0.14.47, esbuild@0.27.7, fast-uri@3.1.0, form-data@4.0.5 (CWE-1395)
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
⚠ML09Output Integrityhigh
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
•Path traversal sequences — '../' present in content or name (CWE-22)
•Suspicious code patterns — pipe-to-shell install (CWE-494)
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.

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: Safe · 1002h ago

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

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