MCP servers for text recognition
MCP servers whose description mentions extracting text from images.
What this excerpt selects
| Field of use | Text recognition derived from: Description (raw) |
|---|
A derived value carries its raw declaration beside it; the derivation rule is published, with a version, on the methodology page.
What this excerpt does not say
- Field of use is not declared but computed: from Description (raw). The rule is published, with a version, on the methodology page.
- None of this is verified. This registry fetches no repository URL, no endpoint and no package index. What is measured is what a manifest declares, not what a piece of software does.
Every sentence here follows from the condition above, not from an assessment.
How this excerpt is distributed
Delivery form (raw)
85| paket | 43 51 % |
|---|---|
| remote | 35 41 % |
| paket und remote | 6 7.1 % |
| keines | 1 1.2 % |
Execution location
85| local | 50 59 % |
|---|---|
| remote | 35 41 % |
Credentials required
85| no | 64 75 % |
|---|---|
| yes | 21 25 % |
Repository URL listed
85| yes | 71 84 % |
|---|---|
| no | 14 16 % |
Repository platform (raw)
85| github | 71 84 % |
|---|---|
| nothing declared | 14 16 % |
Schema version of the raw record (raw)
85| https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json | 75 88 % |
|---|---|
| https://static.modelcontextprotocol.io/schemas/2025-09-29/server.schema.json | 5 5.9 % |
| https://static.modelcontextprotocol.io/schemas/2025-07-09/server.schema.json | 3 3.5 % |
| https://static.modelcontextprotocol.io/schemas/2025-10-17/server.schema.json | 2 2.4 % |
Per property, the measured values inside this excerpt. The share refers to the 85 entries of the excerpt, not to the registry. Shown are 6 of 7 properties: those whose values spread the most inside this excerpt.
The same excerpt through the interface
curl -s "https://api.tracevero.com/v1/eintraege?art=mcp_server&einsatzgebiet=texterkennung&grenze=200"
The command carries exactly the condition of this page. 85 entries at 200 each are a single request; the total is in the X-Gesamt header.
Changes to these entries
https://tracevero.com/aenderungen.atom?thema=einsatz-texterkennung
Both addresses narrow the change stream to exactly the entries in this excerpt. The feed carries an identifier of its own, so a feed reader keeps it apart from the full stream.
Excerpts sharing entries with this one
Per neighbour its own size and the counted number of shared entries. An excerpt without a single shared entry is not listed here.
Entries
Entries 1 to 50 of 85
| APICK | app.apick/all |
|---|---|
| APICK OCR | app.apick/ocr |
| Aegis-Privacy-MCP | io.github.Evozim/zero-leak |
| Andreax x402 Services | io.github.moralito311-andr/andreax |
| BACH FileCommander | io.github.lukisch/bach-filecommander-mcp |
| BRYG | io.github.flexiblepackage/bryg |
| CPFL: Download + OCR | io.github.mcp-dir/contas_cpfl_download_ocr-mcp |
| CPFL: Download via link + OCR | io.github.mcp-dir/contas_cpfl_link_ocr-mcp |
| Claude KVM | io.github.ARAS-Workspace/claude-kvm |
| Contendeo | app.contendeo/contendeo |
| DeepSeek PDF Reader | io.github.flt1milize/deepseek-pdf-reader |
| Docpick | io.github.ArkNill/docpick |
| Document to JSON – PDF Invoice/Statement/Contract Parser | io.github.fashionmascherine-svg/document-to-json-mcp |
| Dokmatiq DocGen | io.github.dokmatiq/docgen |
| Enel RJ: Download + OCR | io.github.mcp-dir/contas_enel_rj_download_ocr-mcp |
| Enel SP: Download + OCR | io.github.mcp-dir/contas_enel_sp_download_ocr-mcp |
| FactScan AI | app.factscanai/factscan |
| Frenchie | io.github.Lab94/frenchie-skill |
| GoldBean MCP Server | io.github.wuzenghai616-lang/goldbean |
| Image Reader MCP | io.github.SylphxAI/image-reader-mcp |
| ImagePay MCP | io.github.neuralmint/imagepay-mcp |
| Light: Download + OCR | io.github.mcp-dir/contas_light_download_ocr-mcp |
| Light: Download via CEP + OCR | io.github.mcp-dir/contas_light_download_cep_ocr-mcp |
| MCP Test Utils | io.github.JeenyJAI/mcp-test-utils |
| MinerU | io.github.linxule/mineru |
| NIRA Screen Vision MCP | io.github.pachote/nira-screen-vision |
| Native DevTools | io.github.sh3ll3x3c/native-devtools |
| Neoenergia (Elektro): Download + OCR | io.github.mcp-dir/contas_neoenergia_download_ocr-mcp |
| Nutrient DWS MCP Server | io.github.PSPDFKit/nutrient-dws-mcp-server |
| OCR Text Extraction API | io.github.Br0ski777/ocr-extract |
| Ocrspace | io.github.pipeworx-io/ocrspace |
| Optical Context MCP | io.github.ChrBoebel/optical-context-mcp |
| PDF to Markdown (pdf2md.dev) | dev.pdf2md/pdf-to-markdown |
| PDF4me | io.github.pdf4me/pdf4me-mcp |
| PDFHaul MCP | com.pdfhaul.www/mcp |
| Receipt Extraction | com.acjlabs/receipt-extraction |
| Rosetta PDF | io.github.Jcjimenezglez/rosetta-mcp |
| Social → Context | io.github.mcp-dir/socialdl-mcp |
| Stashot | io.github.tammifull/stashot |
| Suparse Document Processing | io.github.suparse/suparse-mcp |
| Syftly | io.github.Lodewijkheemskerk/syftly |
| Toolora MCP Server | io.github.Mistakili/toolora-mcp |
| ai.filegraph/document-processing | ai.filegraph/document-processing |
| ai.fluxink/fci-mcp | ai.fluxink/fci-mcp |
| ai.roc/mcp | ai.roc/mcp |
| com.auto-reader/ocr | com.auto-reader/ocr |
| com.mart402/extract | com.mart402/extract |
| com.mcparmory/pdfco | com.mcparmory/pdfco |
| deAPI MCP Server | io.github.deapi-ai/mcp-server-deapi |
| eKYC Suite | io.github.wefi-ai/ekyc-suite |
All 85 entries in the list, with filters and pagination
tracevero · https://tracevero.com/themen/einsatz-texterkennung