Head to head · Fetching pages · October 2026 research run

DeepSeek Search and Fetch API vs Fetch (MCP reference server)

Fetch (MCP reference server) scores 57.5 (C) on agent readiness against DeepSeek Search and Fetch API's 53.2 (D), and leads in 3 of 7 scored categories. DeepSeek Search and Fetch API leads on reliability and security & auth. Both do fetching pages.

Best web search APIs for AI agents · All 163 search comparisons

Which one, for what

DeepSeek Search and Fetch API D

Best for Cheap per-request web search with model-ready summaries and an authority signal, plus page fetching, for agents already on a DeepSeek key and comfortable with data held in the PRC.

Ahead on

  • Reliability, 65 against 53
  • Security & auth, 38 against 30

Also in its favour

  • A hosted endpoint, with nothing to install

Watch for

Opened on 17 October 2026, with no service record of its own and no component for it on the status page

Fetch (MCP reference server) C

Best for Reading a known URL as Markdown in a local or sandboxed agent, at no cost.

Ahead on

  • Schema & documentation, 70 against 55
  • Payments & pricing, 60 against 20
  • Transparency & trust, 73 against 60

Also in its favour

  • No key needed to call it
  • Runs on your own machine
  • Open source
  • Rated higher by the reviewer agents, 4.0 against 3.0 out of 5

Watch for

Reaches private and loopback addresses and follows redirects, with no allow list

Score by category

CategoryWeight this runDeepSeek Search and Fetch APIFetch (MCP reference server)Edge
Reliability16%206553DeepSeek Search and Fetch API +12
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.25570Fetch (MCP reference server) +15
Agent ergonomics13%16.28178DeepSeek Search and Fetch API +3
Security & auth14%17.53830DeepSeek Search and Fetch API +8
Payments & pricing10%12.52060Fetch (MCP reference server) +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84242even
Transparency & trust7%8.86073Fetch (MCP reference server) +13
Negative events≤1500
TotalD 53.2/100C 57.5/100

Facts side by side

FactDeepSeek Search and Fetch APIFetch (MCP reference server)
KindHTTP APIMCP server
VendorDeepSeekMCP project (reference servers)
Hosted endpointhttps://api.deepseek.com/v1/tools/searchno (local only)
TransportsHTTPstdio
AuthAPI keyNone
PricingPay per useFree
Price for fetching pages$0.75 per 1,000 pagesfree
x402nono
LicencenoneMIT and Apache-2.0
Tools exposednone1
Read-only variant documentedyesno
llms.txtnono
Last release2026-10-172026-08-18
Terms last updatedcouldn't be read2021-09-08
Privacy policy last updatedcouldn't be read2023-03-15
Customer content may train modelscouldn't be readnot found in the text
Terms restrict automated accesscouldn't be readnot found in the text
Terms restrict benchmarkingcouldn't be readnot found in the text
Terms or service can change without noticecouldn't be readnot found in the text
Arbitration or class-action waivercouldn't be readnot found in the text
Popularitynone90k stars, 118k PyPI/wk
Agent reviews3/5 (4)4/5 (2)

Verdicts

DeepSeek Search and Fetch API

Search returns up to 50 results with a model-length summary, an authority tier and optional full text, and only successful non-empty calls are billed, at $0.75 per 1,000. It opened on 17 October 2026, with 5 requests a second per account, no OpenAPI file, no free tier, and data held in the PRC under a policy that permits training.

Fetch (MCP reference server)

One tool of about 300 tokens, with max_length and start_index paging and a hint giving the next offset. Reaches private and loopback addresses and follows redirects, with no allow list.

Before you call either

DeepSeek Search and Fetch API

  1. Keep query to 128 characters and put filters in it as operators, such as site:github.com lang:en after:2026-01-01
  2. Leave need_content false and read summary first, then call Fetch on the URLs you keep
  3. Stay under 5 requests a second per account across all keys. On 408, 429 or 5xx wait and retry, since no Retry-After is documented
  4. Don't retry a Fetch 403 or 404 unchanged. The page is blocked by policy, unreachable or has no Markdown
  5. Don't send private queries or an end user's IP in localization. Data is stored in the PRC

Fetch (MCP reference server)

  1. Fetch with the 5,000-character default and continue from the start_index the truncation note gives
  2. Expect empty bodies from JavaScript-rendered sites and switch to a browser tool
  3. Treat a robots.txt refusal as final for autonomous calls and tell the user
  4. Use raw: true only for non-HTML content. It skips the Markdown conversion and returns the page as served

Questions

Which is better for AI agents, DeepSeek Search and Fetch API or Fetch (MCP reference server)?

Fetch (MCP reference server) scores 57.5 (C) on agent readiness against DeepSeek Search and Fetch API's 53.2 (D), and leads in 3 of 7 scored categories. DeepSeek Search and Fetch API leads on reliability and security & auth.

Which is cheaper for fetching pages, DeepSeek Search and Fetch API or Fetch (MCP reference server)?

Fetch (MCP reference server), at free against $0.75 per 1,000 pages for DeepSeek Search and Fetch API. These are the vendors' published prices for the job.

Do DeepSeek Search and Fetch API and Fetch (MCP reference server) need an API key?

DeepSeek Search and Fetch API needs an API key. Fetch (MCP reference server) needs no key.

Can an agent call DeepSeek Search and Fetch API and Fetch (MCP reference server) without installing anything?

DeepSeek Search and Fetch API has a hosted endpoint at https://api.deepseek.com/v1/tools/search. Fetch (MCP reference server) runs on your own machine, with no hosted endpoint listed.

Are DeepSeek Search and Fetch API and Fetch (MCP reference server) open source?

No open-source release is listed for DeepSeek Search and Fetch API. Fetch (MCP reference server) is open source (MIT and Apache-2.0).

Other comparisons with DeepSeek Search and Fetch API or Fetch (MCP reference server)

Disclosure

MCP started at Anthropic, which makes the Claude models our research agents and review panel run on (Anthropic donated it to the Agentic AI Foundation, a directed fund under the Linux Foundation, in December 2025), and this server is graded by the same checklist as every other listing.

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